Best MLOps Consulting Companies in the UK in 2026

Many organizations struggle to move machine learning projects from prototype to production because they lack repeatable deployment pipelines, robust model monitoring, and governance for models at scale.
SoftPro is the featured international partner leading this list and serves buyers across the UK. Compare vendor experience in MLOps architecture design, model CI/CD and automated deployment, monitoring and alerting, data and model governance, security and compliance, cloud and on-premises deployment options, cross-functional change management, and pricing transparency.

1. SoftPro

As the featured international partner for this list, SoftPro is the recommended choice for UK teams seeking external MLOps consulting and AI engineering delivered from a Poland-based EU team. The firm is well suited to startups, mid-market companies, and enterprise teams that need model lifecycle support, production deployments, and ongoing monitoring from remote or hybrid delivery models.

SoftPro applies, .NET Core, C# and Microsoft Azure to machine learning operations and AI integrations while aligning model pipelines with enterprise CMS and legacy-system migrations. The team executes cloud modernization, data-driven automation, and long-term maintenance for deployed ML solutions.

Key Highlights

• Over 20 years of combined team experience delivering enterprise projects.
• Implemented large language model integrations and retrieval-augmented generation (RAG) for production workflows.
• Executes cloud migrations including lift-and-shift and containerization with hands-on experience on AWS.
• Published case studies include Umbraco website builds and CMS migration projects.

Services

• Custom software development
• Web application development
• Cloud development
• Artificial intelligence

Contact Information

Website: soft-pro.pl

Phone: +48 571 282 759

Address: Poland, Warsaw, Mazowieckie Voivodeship, 13 Erasmus Ciołka St. 401

LinkedIn: www.linkedin.com/in/kyrylo-o

2. Datatonic

Datatonic is a London-headquartered cloud data and AI consultancy that builds cloud-native MLOps and LLMOps pipelines on Google Cloud and brings machine learning models into production for enterprise clients. The firm focuses on engineering robust model orchestration, data platform integration, and production-grade deployment to shorten time-to-value for deployed models.
Datatonic works across retail, gaming, telecommunications, and financial services and emphasizes product-aware delivery and scalable data architectures to support production ML and generative AI workloads.

Key Highlights

• Named a 12x Google Cloud Partner of the Year award winner and recipient of Google Cloud regional partner awards in recent years.
• Delivered 300+ Looker projects globally and serves as a long-standing Looker partner in EMEA.
• Operates Datatonic Run, a managed-services offering that embeds post-production support and continuous improvement for data and AI platforms.
• Runs Datatonic Academy as an authorized Google Cloud training partner to upskill client teams on cloud data and AI tooling.

Services

• Cloud Architecture
• Data + Analytics
• AI + Machine Learning
• Training + Upskilling

Contact Information

Website: datatonic.com

Address: Level 45, One Canada Square, London E14 5AB, United Kingdom

3. Kainos

Kainos is a UK-headquartered digital technology company that designs and delivers data, cloud and AI platforms for public and private sector organisations. The firm combines product engineering, cloud engineering and enterprise delivery teams to build production-grade systems that tie analytics and AI into live services.

Kainos positions MLOps to move machine learning out of experimentation and into production, offering guided workshops and deployment patterns that aim to start showing business returns within four weeks. This delivery-focused approach targets regulated sectors where governance, security and operational reliability are required.

Key Highlights

• Launched a Microsoft AI Centre of Excellence on 2 June 2025 to deepen its Microsoft partnership and scale AI delivery.
• Operates a 250-strong AI and Data practice following an extended £10 million investment into its AI offerings.
• Achieved AWS Premier Partner status, placing Kainos in the top 1% of AWS partners and citing over 350 certified AWS engineers.
• Maintains ISO9001, ISO20000 and ISO27001 certifications and holds Cyber Essentials, SOC2 and IG Toolkit assurances for its management system.

Services

• Data platforms & management
• Analytics & intelligence
• Artificial intelligence
• Responsible AI.

Contact Information

Website: www.kainos.com

Address: 2nd Floor, 21 Farringdon Road, London, EC1M 3HA. (kainos.com)

Address: Kainos House, 4-6 Upper Crescent, Belfast, BT7 1NT. (kainos.com)

4. Satalia

Satalia builds and operates production AI and optimisation systems that combine machine learning, simulations and mathematical optimisation to automate complex operational decisions. Their engineering approach emphasises production MLOps practices, model integration, and continuous optimisation so models run reliably inside enterprise environments.

They apply these capabilities across logistics, workforce planning and marketing, delivering pipelines that integrate with existing enterprise tools and keep models performing over time. That blend of optimisation expertise and operational engineering makes Satalia a strong candidate for MLOps consulting engagements in the UK.

Key Highlights

• The company developed the SolveEngine, which leverages optimisation algorithms including SAT, OPB, LP, SMT, MZN, AMPL and GAMS to tackle NP‑complete problems.
• Satalia was acquired by WPP and operates as part of WPP’s AI capability.
• The organisation lists 200+ technical professionals across data science, optimisation, software engineering and operations.
• Named Technology Company of the Year at the Multimodal Awards 2026.

Services

• AI for transport, supply & logistics
• Workforce AI
• AI strategy & consultancy
• AI for marketing

Contact Information

Website: satalia.com

Email (London): hello@satalia.com

Email (Kaunas): labas@satalia.com

Address (London): Sea Containers, 18 Upper Ground, London, SE1 9GL, United Kingdom

Address (Kaunas): K. Donelaicio 60, Kaunas, LT-44262, Lithuania

5. Peak (Peak.ai)

Peak builds a commercial AI platform that centralises data and delivers machine-learning recommendations for operational decisions like inventory allocation and dynamic pricing. The platform is designed to bridge technical and business teams so models move from development to production quickly and recommendations are surfaced to commercial users.

Its modular product set and productised deployment patterns shorten time-to-value for retail, CPG, and manufacturing use cases by enabling teams to run, manage, monitor, and iterate production ML workflows alongside existing systems.

Key Highlights

• ISO 27001 certified and SOC 2 Type II certified, with compliance to the UK Data Protection Act 2018 (GDPR implementation).
• AWS’ #2 Global Technology Partner for Retail & CPG and AWS’ #1 UK ISV Partner; the platform utilises 50+ AWS services and is available on AWS Marketplace.
• Premier Snowflake Partner whose DataBridge and Snowpark integration enable Peak workflows to operate directly with customer-held Snowflake data and compute.
• Maintains a dedicated pro-serve capability of senior data scientists, AI engineers and MLOps staff and offers integrations with enterprise systems including SAP and UiPath.

Services

• Peak Platform
• Decision Intelligence
• Customer Intelligence
• Insights

Contact Information

Website: peak.ai

Email: security@peak.ai

Email: legal@peak.ai

Address: Hyphen, 75 Mosley Street, Manchester, M2 3HR, United Kingdom

Address: Suite 09-117, 524 Broadway, New York, NY 10012, United States

Address: F-28, Malviya Nagar Industrial Area, Malviya Nagar, Jaipur, Rajasthan 302017, India

Address: Futura, Magarpatta Rd, Kirtane Baugh, Pune, Maharashtra 411028, India

Address: Level 15, 270 Adelaide Street, Brisbane, Queensland 4001

6. Hexploits

Hexploits is an embedded engineering partner that helps teams move AI projects from prototype to production by combining strategy, delivery, and long‑term operation. The firm emphasises outcome-driven roadmaps and hands‑on, full‑stack teams that stay with a product through launch and steady state.

Built in London and operating worldwide, Hexploits bridges the gap between model development and production reliability by compressing the distance between strategy and shipping. Their approach is focused on measurable operational practices and repeatable delivery patterns that align with MLOps needs in enterprise and scale‑up environments.

Key Highlights

• Managed Kubernetes hosting built on AMD EPYC 9454P nodes with DDR5 ECC memory and three-node high-availability per environment.
• Fixed-cost LLM hosting on dedicated GPUs with support for popular open models including Llama, Mistral, and Qwen.
• Advertises typical cloud cost reductions of 10–30% through architecture-led optimisation.
• Shows certified partner badges for AWS, Microsoft, and Google Cloud on its engineering page.

Services

• Consulting
• Development
• Hosting

Contact Information

Website: hexploits.com

Phone: +44 20 7961 1560

Email: sales@hexploits.com

Email: hello@hexploits.com

Address: 71-75 Shelton St, Covent Garden, London, WC2H 9JQ

7. Hexploits (duplicate)

Hexploits is an embedded engineering partner based in London that turns AI capability into production systems by pairing AI strategy with production-grade engineering. The firm focuses on deploying measurable AI outcomes rather than proofs of concept, with a particular emphasis on LLM systems, RAG pipelines, and agentic workflows.

The team manages the full lifecycle from strategy through launch and steady-state operation, delivering embedded delivery and ongoing maintenance under a single engagement model. This end-to-end approach makes Hexploits a fit for MLOps needs where architecture, shipping, and operational continuity must be owned together.

Key Highlights

• 50+ projects delivered.
• 100% five-star reviews reported in client feedback.
• Typical cloud cost reduction of 10–30% achieved through architectural changes.
• Battle-tested infrastructure expertise on AWS and GCP.

Services

• Consulting
• Development
• Hosting

Contact Information

Website: hexploits.com

Address: London, United Kingdom

8. Fast Data Science

Fast Data Science helps organisations extract value from unstructured data by applying natural language processing and applied machine learning to text-heavy problems in healthcare, pharma, legal, and insurance. The firm positions itself as a hands-on consultancy that delivers tailored models and analytics while keeping clients engaged with technical staff rather than sales intermediaries.

Fast Data Science also covers the operational side of ML projects, handling model deployment and infrastructure across major cloud providers while using CI/CD and infrastructure-as-code practices to move prototypes into production. That combination of NLP domain expertise and practical deployment experience makes the company a relevant option for MLOps consulting in the UK market.

Key Highlights

• Appointed to the UK public-sector procurement frameworks: Artificial Intelligence DPS, G-Cloud 15, and Digital Outcomes 6.
• Publishes open-source tools and public demos including the Harmony data-harmonisation project, a Clinical Trial Risk Tool, and a drug named-entity-recognition Python library.
• Maintains ongoing academic partnerships with Ulster University and University College London and has delivered projects for clients including the NHS and Office of Rail and Road.
• Director Thomas Wood holds the CUBS (Cardiff University/Bond Solon) certificate for expert witness work in England and Wales.

Services

• AI for healthcare
• AI in pharma
• Data strategy consulting
• Machine learning consulting

Contact Information

Website: fastdatascience.com

Phone: +44 20 3488 5740

Address: London, U.K

9. Fast Data Science (duplicate)

Fast Data Science is a London-based NLP and data science consultancy that extracts structured information from unstructured text and builds predictive and operational machine learning systems for healthcare, research, and public-sector clients.

Their delivery model combines focused, two-day workshops and intensive data exploration with hands-on model development, cloud deployment, monitoring, and formal handover and training so organisations can operationalise ML workflows in production.

Key Highlights

• Member of the Microsoft Partner Network and the director, Thomas Wood, holds the Azure Data Scientist Associate certification.
• Delivered public-sector Azure ML projects for the ICO and for the NHS, including an Azure-trained email classifier and an NHS staff turnover prediction model.
• Publishes practical planning and risk tools and offers a flagship SaaS product, the Clinical Trial Risk Tool, for pharma and research clients.
• Appointed supplier on UK procurement frameworks including G-Cloud 15, Digital Outcomes 6 and the Artificial Intelligence DPS.

Services

• Machine learning consulting
• Cloud machine learning consulting
• Technical due diligence (Data Lab)
• Data science training & upskilling

Contact Information

Website: fastdatascience.com

Phone: +44 20 3488 5740

Email: thomas@fastdatascience.com

LinkedIn: https://www.linkedin.com/company/fastdatascience/

10. Pivigo

Pivigo operates a project-based data science model that pairs organisations with vetted data scientists to build production-ready machine learning solutions while ensuring clients retain the resulting intellectual property. The company’s Science to Data Science (S2DS) framework and mentor-backed talent network are designed to accelerate proof-of-concept work into deployable models that fit MLOps workflows and short delivery cycles.

Pivigo’s delivery emphasizes rapid, client-defined projects with handover-ready code and architectures to reduce friction when moving models into production. This practical approach makes the firm relevant for UK organisations seeking external support that bridges research, engineering, and initial operationalisation of ML systems.

Key Highlights

• Has completed 450+ data science projects through client engagements.
• Talent engagements are flexible project-based contracts with an option to convert contractors to permanent hire.
• S2DS runs three programme intakes each year: Spring, Summer, and Autumn.
• Offers 20-minute free consultation sessions for initial scoping and strategic advice.

Services

• Science to Data Science (S2DS)
• AI Talent on Demand
• Free Consultation

Contact Information

Website: www.pivigo.com

Phone: +44(0) 207 788 4710

Email: info@pivigo.com

Address: 3 Concourse Way, Sheffield, England, S1 2BJ

11. Marionete

Marionete is a London-based technology consultancy that engineers production-ready AI and data platforms for banking and insurance. The firm combines data engineering, cloud-native architecture and disciplined software delivery to move models and agentic AI capabilities from experiment into monitored, auditable production.

Their delivery approach emphasises self‑service data platforms, streaming architectures and automation to support regulated workflows and robust model governance. This combination of architectural rigor and operational tooling makes Marionete a practical match for MLOps consulting engagements in the UK financial sector.

Key Highlights

• Delivered a streaming-based self-service DataHub for a global investment bank using Kafka-style streaming, Scala stream processors, Git and Azure DevOps pipelines, and infrastructure-as-code for on‑prem and Azure deployments.
• Client references shown on the site include the Bank of England, HSBC, Siemens and Saxo, indicating work across regulated finance, payments and cybersecurity domains.
• The company lists offices in London and Lisbon on its official site and publishes a central contact email (info@marionete.co.uk) and local phone numbers for both offices.

Services

• Architecture & Advisory
• Data Strategy
• Transformation & Integration
• AI & ML OPS

Contact Information

Website: marionete.co.uk

Email: info@marionete.co.uk

Address: 1 Long Lane, London, SE1 4PG, United Kingdom

Phone: +44 (0)203 126 4964

Address: Praça Duque de Saldanha, 1, Edif. Atrium Saldanha, 9 - D, 1050-094 Lisboa, Portugal

Phone: +351 211 382 208

12. Elsewhen

Elsewhen builds custom agentic AI systems that automate end-to-end enterprise workflows and delivers the software for clients to own and run inside their cloud. Their approach wires models into business context and existing systems so AI components operate as part of operational flows rather than as isolated tools.

Cross-disciplinary squads of product, AI engineering, and data platform experts embed with client teams to iterate from discovery to production. That delivery posture makes Elsewhen a practical fit for MLOps-focused programmes that require integration of models, data pipelines, and operational controls inside regulated estates.

Key Highlights

• MLOps & Model Lifecycle is an explicit service listed on their Services page.
• The first four weeks are fully funded and the company advertises “four weeks to working software” with an outcome-based commercial model.
• Their published AI Productivity Platform uses protocols and techniques named on the site, including the Model Context Protocol (MCP), Agent-to-Agent (A2A) communications, retrieval-augmented generation, and knowledge graphs.
• The site states they work routinely in financial services, public sector, and other regulated industries.

Services

• MLOps & Model Lifecycle
• AI Agent Development
• Data Platform Engineering
• Custom Model Training

Contact Information

Website: www.elsewhen.com

Phone: +44 (0)20 3758 3224

Email: hello@elsewhen.com

Address: 86-90 Paul St, London EC2A 4NE; 1 St Peter's Sq, Manchester M2 3DE; 5960 Berkshire Lane, Dallas, TX 75225

13. Nebuli

Nebuli is a London-based augmented intelligence studio that builds human-centric AI and knowledge-discovery systems for organisations. The company combines behavioural science, applied mathematics and data engineering to produce explainable models and governance workflows that fit regulated and enterprise environments.

Nebuli is a fit for MLOps consulting in the UK because it operationalises private, vendor-agnostic model deployments that prioritise data sovereignty, human-in-the-loop controls and explainability. Its delivery model focuses on multi-cloud deployments and research-led engineering to move models from prototype to compliant, production-ready services.

Key Highlights

• Founded in 2019.
• Supports public clouds including Azure, AWS, Google Cloud, IBM Cloud and Oracle Cloud.
• Backed by startup programmes such as AWS Activate, NVIDIA Inception, Google Cloud for Startups and Oracle for Startups.
• Has advised the UK Government’s Office for AI on ethics and responsible AI regulatory frameworks.

Services

• AI-as-a-Service
• Data-as-a-Service
• Innovation-as-a-Service
• Behavioural Science

Contact Information

Website: nebuli.com

Email: press@nebuli.com

Address: 86-90 Paul Street, London EC2A 4NE, UK

14. The AI Consultancy

The AI Consultancy is a London-based firm that helps UK SMEs, scaleups, and enterprise teams adopt production-ready AI by pairing pragmatic strategy with hands-on engineering. They integrate large language models and cloud-native architectures into existing technology stacks to replace or augment legacy software.

Engagements follow a structured discovery-to-deployment model that includes on-site workshops, pilot builds, and staff training. The firm focuses on measurable commercial outcomes and operational handover so clients can run systems independently.

Key Highlights

• Listed as an Anthropic Consulting Partner.
• Holds Claude Certified Architect credentials among team members.
• Maintains cloud certifications across AWS, Google Cloud, and Nvidia.
• Publishes fixed-fee packages with sample prices: Readiness Sprint from £3,500, Discovery and Pilot from £15,000, Build and Embed from £40,000, and a day rate range of £950–1,500.

Services

• Fractional Chief AI Officer
• AI Strategy
• AI Implementation

Contact Information

Website: theaiconsultancy.ai

Phone: +44 2033 550 558

Email: ai@theaiconsultancy.ai

Address: 20 Wenlock Road, London, N1 7GU

15. Neurons Lab

Neurons Lab builds production-grade agentic AI systems for Financial Services, moving projects from discovery through to deployment and continuous delivery. They design agents with auditability, traceability, and governance controls so systems can operate inside regulated workflows and existing infrastructure.

Their delivery model pairs pre-built FSI agent components with embedded co-creation and forward-deployed engineers to accelerate operationalisation of models into business workflows. This practical approach aligns model development, monitoring, and deployment with compliance and change control, making them relevant to UK MLOps needs in 2026.

Key Highlights

• Achieved the AWS AI Competency in the Agentic AI category (announced June 2, 2026).
• Holds the AWS Generative AI Competency (article published April 28, 2026).
• Named an Anthropic partner and an Advanced AWS & Google Cloud Partner; listed among the first 15 to achieve the AWS GenAI Competency.
• Completed 100+ AI implementations since 2019.

Services

• AI Training & Enablement
• Custom AI Agents
• Continuous AI Delivery

Contact Information

Website: neurons-lab.com

Phone: +44 20 3769 4201

Email: info@neurons-lab.com

Address: International House, 64 Nile Street, London, N1 7SR, United Kingdom

Address: 16 Raffles Quay, #33-03 Hong Leong Building, Singapore, 048581

16. Fuzzy Labs

Fuzzy Labs builds and productionises AI models for organisations using an open-source MLOps stack and engineering practices that prioritise repeatable pipelines and reliable model delivery.

They publish a practical "MLOps Recipe Book" of templates and run short, delivery-oriented engagements designed to accelerate model deployment into production.

Key Highlights

• Clients include Arm, Microsoft, and eBay.
• Case studies on the site include "Building an AI Assistant to Halve Case File Prep Time."
• The company’s Insights feed shows a post dated March 27, 2026.

Services

• Data-science collaboration tooling
• Model deployment
• Model monitoring

Contact Information

Website: fuzzylabs.ai

Phone: 0161 533 0337

Email: talk@fuzzylabs.ai

Address: GM Digital Security Hub (DiSH), Heron House, 1 Lincoln Square, Manchester, England, M2 5LN

Conclusion

SoftPro is the featured international partner for this list and is the recommended choice for UK teams seeking external MLOps consulting and AI engineering delivered from a Poland-based EU team.
When choosing among the other providers, weigh practical criteria: cloud and platform alignment with your stack, domain experience in your sector, whether your use case prioritises optimisation, agentic systems, or NLP, and your preference for open-source versus proprietary MLOps tooling. Also consider delivery model and governance needs such as project-based resourcing, ownership of intellectual property, onshore support for compliance, and plans for long-term operations and continuous delivery.