101 to 125 of 182 MLOps Jobs in the UK

vulnerability management, and automation A passion for continuous improvement and mentoring others Desirable Experience in defence, aerospace, or other highly regulated sectors Exposure to MLOps, edge computing, or GPU-enabled workloads If this role is of interest, apply now or email your CV to me directly at (url removed ...

Capital Markets, Hedge Funds or Buy-Side Strong grasp of AI capabilities, limitations, and deployment considerations Familiarity with modern AI stacks (e.g. LLMs, RAG, MLOps, cloud platforms) UK-based or UK right-to-work contractors What to expect: Contract opportunities only (inside & outside IR35 depending on client) High-impact ...

production-quality code Desirable Experience: PyTorch, TensorFlow, or similar ML frameworks Scientific computing/numerical methods/optimisation GPU acceleration or high-performance computing MLOps, model deployment, APIs, or production pipelines What’s great about this position: Focus on applied AI in real engineering systems Work on technically challenging, high ...

particularly within the YOLO family. Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO. Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions. Excellent problem-solving skills and the ability to perform ...

such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers ...

high-performance culture. Structural Excellence: You define how the team works internally. You will structure workflows, set standards for model and code quality and MLOps, and ensure the team is organised for maximum velocity and accountability. All this within the company's Agile methodology. The Candidate: "The Architect & The Doer ...

Inside IR35) What you'll do Build and ship end-to-end AI/ML features, from data ingestion and training to deployment, MLOps workflows, CI/CD, and model versioning Develop LLM/GenAI solutions: prompt engineering, RAG pipelines, embeddings, vector search, and inference optimisation (LoRA/PEFT, quantisation …/microservices development, GCP (Vertex AI, BigQuery), CI/CD, and containerisation (Docker, Kubernetes) Nice to have: ML frameworks (PyTorch, TensorFlow, Hugging Face), MLOps practices, API Gateway/ISTIO, IAM/data governance, Responsible AI standards AI Architect Position Contract Length - 6 months (potential for extension) Location - London (Hybrid ...

Lead AI Engineer (Python LLM MLOps) London/WFH to £125k Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations. ...

commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across various fields. #J-18808-Ljbffr ...

Unity Catalog, governance, RBAC and platform security Experience improving platform reliability, scalability and developer experience Desirable: Databricks Asset Bundles (DABs) Azure DevOps, MLflow and MLOps exposure This role will focus on building scalable platform capabilities, enabling domain-led data products, and driving best practice across a modern data ecosystem. ...

cloud platforms and modern data architectures Proven ability to design and govern large-scale data and AI solutions Experience with CI/CD, MLOps and infrastructure-as-code approaches Confident communicator able to work with both technical and non-technical audiences Eligible for SC clearance (5+ years continuous UK residency ...

Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling … stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with ...

technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally … data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days ...

About Us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing ...

MLOps Platform Manager (Databricks) London £550-£650 Outside IR35 Per Day Fully Remote Start date: ASAP The Company They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform … estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work. The Role and Deliverables Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance ...

monthly billing Promotion to Consultant within 6 months based on performance Structured, hands-on training from experienced AI recruiters Strong market demand across GenAI, MLOps, and data science Year 1 OTE £40k, Year 2 £50k, Year 3 £65k Early exposure to founders and technical hiring managers Clear targets and transparent ...

across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with ...

infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

create real commercial leverage Skills and Experience Proven leadership in defining and delivering enterprise AI strategy, including GenAI Strong understanding of AI platforms, MLOps, and modern AI tooling (without needing to be hands-on) Experience translating AI opportunities into commercially impactful use cases at scale Exceptional communication, influence, and stakeholder ...

Develop agentic workflows across areas like underwriting and claims Work closely with business stakeholders to define requirements and shape solutions Deploy models using modern MLOps practices (APIs, microservices, CI/CD, containers) Collaborate with engineers, product teams, and senior stakeholders across the business Tech stack Python & SQL (essential) GCP (preferred … flexible depending on experience) LLMs/GenAI/RAG/agentic frameworks (LangChain, LlamaIndex etc.) MLOps tools: Git, CI/CD, Docker, Kubernetes, APIs What you bring Core requirements 5+ years in data science/machine learning Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling) Hands-on experience ...

solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance and best practices * Translating business requirements into cloud-native AI and data architectures across Azure, AWS and GCP * Collaborating with technical and non-technical … stakeholders to deliver measurable business value * Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ...

Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will … Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. ...

production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with … problems Develop and maintain scalable data pipelines and feature engineering workflows Productionise data science models and integrate them into live services and platforms Implement MLOps best practices, including model versioning, monitoring, and CI/CD Collaborate with data scientists, analysts, and architects to design end-to-end ML solutions Ensure ...

supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into … prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design ...