151 to 175 of 415 MLOps Jobs in the UK

the machine learning strategy and direction for assigned projects. Lead the design, training and validation of models and algorithms. Maintain hands-on involvement. Work collaboratively with data engineers (note: MLOps responsibilities are handled by the engineering team). Contribute to broader AI and ML strategy development within the engagement. Required Skills & Experience 6+ years’ experience in Data Science. Demonstrated experience More ❯

enable adoption and application of validated models. Work as part of a fast-paced, agile development team , identifying and prioritizing opportunities to deliver new capabilities. Build and maintain robust MLOps pipelines for scalable, reproducible, and automated model development, deployment, and monitoring. Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring More ❯

bonus Principal: £120,000–£140,000 base + ~20%+ bonus Team : 3–4 person AI team within a 100-person private equity firm Tech Stack : Python, LLMs, MLOps, cloud (Azure, AWS, GCP), agentic systems Visa Sponsorship : Happy to sponsor Interested? Please apply below. More ❯

bonus Principal: £120,000–£140,000 base + ~20%+ bonus Team : 3–4 person AI team within a 100-person private equity firm Tech Stack : Python, LLMs, MLOps, cloud (Azure, AWS, GCP), agentic systems Visa Sponsorship : Happy to sponsor Interested? Please apply below. More ❯

pipelines Deploy, monitor, and improve production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred) Proven More ❯

strategic decision-making on technology and architecture to ensure scalable and cost-effective solutions. Driving the development of machine learning models, pipelines, and tooling, with a strong emphasis on MLOps best practices. Acting as a subject matter expert internally and externally, including with key customer stakeholders. Translating business requirements into robust technical solutions, ensuring alignment across teams. Promoting strong data More ❯

grade AI/ML solutions and driving adoption at scale. Deep expertise in GenAI (LLMs, prompt engineering, RAG) as well as classical ML and experimentation. Hands-on knowledge of MLOps, cloud (AWS/Azure), and modern data science tools. Exceptional stakeholder skills - able to translate complex technical work into board-level strategy and outcomes. Robert Half Ltd acts as an More ❯

deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices Communicate findings and strategic insights More ❯

deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices Communicate findings and strategic insights More ❯

have had some previous experience managing a team. Proven expertise in applied data analysis and a deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, modern data science tools/platforms and BI tools. Experience enabling data accessibility and self More ❯

Extensive experience with ML & DL platforms, frameworks, and libraries 📚 Extensive experience with end-to-end model design and deployment within cloud environments ☁️ A systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially More ❯

findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC More ❯

other geospatial tooling experience. Experience with AWS and containerised environments (Docker). Familiarity with backend frameworks (FastAPI, Flask, or Django). Experience working with data pipelines, ML workflows, or MLOps-style environments. Ideally some experience with TypeScript for visualisation or frontend-adjacent tooling. Comfort navigating ambiguity, proposing improvements, and balancing short-term execution with long-term architecture. Strong communication skills More ❯

other geospatial tooling experience. Experience with AWS and containerised environments (Docker). Familiarity with backend frameworks (FastAPI, Flask, or Django). Experience working with data pipelines, ML workflows, or MLOps-style environments. Ideally some experience with TypeScript for visualisation or frontend-adjacent tooling. Comfort navigating ambiguity, proposing improvements, and balancing short-term execution with long-term architecture. Strong communication skills More ❯

and speaking with stakeholders where required • Someone who enjoys solving real problems end-to-end: from understanding the domain → designing the approach → shipping the implementation • Experience of MLFlow/MLOps highly desirable Important notes (just to be upfront): • They cannot sponsor visas, so you’ll need existing right to work in the UK • No relocation support – you’ll need to More ❯

and speaking with stakeholders where required • Someone who enjoys solving real problems end-to-end: from understanding the domain → designing the approach → shipping the implementation • Experience of MLFlow/MLOps highly desirable Important notes (just to be upfront): • They cannot sponsor visas, so you’ll need existing right to work in the UK • No relocation support – you’ll need to More ❯

models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and More ❯

e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. More ❯

e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. More ❯

also has: Experience defining the product roadmap for hardware/software integrated systems or SaaS products that manage physical assets. A deep understanding of data quality, labeling pipelines, and MLOps best practices in a production environment. Proven ability to define key performance indicators (KPIs) for ML-driven products and use data science to measure model efficacy and business impact. At More ❯

AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily … with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. In the first instance More ❯

AAI) deliverables across product innovation, maintenance, research, and foundational efforts, considering the roadmaps and needs of multiple product teams, the Applied AI Center of Excellence (COE), and DataOps/MLOps requirements and efforts Using your existing knowledge of NLP, topic modelling, recommendation, classification and generative AI, you will identify opportunities to improve our existing AI models Leveraging your extensive experience … in model deployment and maintenance, and collaborating with the MLOps team to identify opportunities for improvements in deployment practices, standardize processes, and minimize the manual effort associated with model maintenance Promote a culture of collaboration, accountability, technical excellence, innovation, and high performance Attract, engage, and retain Applied AI Scientists, supporting their growth Ensure teams have high technical proficiency and aim More ❯

Senior Data Scientists/Analysts – SC/DV Cleared – (Military/Veteran-Friendly) — Multiple Openings 🌳 Location: London (Remote & Hybrid options) 🌳 Employment: Permanent 🌳 Clearance: Current SC or DV required 🌳 Make sense of mission-critical data that actually drives decisions. 🌳 Areti Group More ❯

Senior Data Scientists/Analysts – SC/DV Cleared – (Military/Veteran-Friendly) — Multiple Openings 🌳 Location: London (Remote & Hybrid options) 🌳 Employment: Permanent 🌳 Clearance: Current SC or DV required 🌳 Make sense of mission-critical data that actually drives decisions. 🌳 Areti Group More ❯

Senior MLOps Engineer | Established Bank | £70,000-£ 85,000 base + Bonus | Hybrid We are looking for an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with … environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/ More ❯