76 to 100 of 182 MLOps Jobs in the UK

prioritise reliability improvements. Desirable skills Experience operating GPU‐backed environments or large‐scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Familiarity with infrastructure‐as‐code (e.g., Terraform) and secure cloud production environments. Experience defining and running SLOs/SLIs and building reliability programs across ...

Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure, AWS, and GCP Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/CD pipelines Ensure scalable deployments … across academia, startups, and hyperscalers Your Background Proven experience leading enterprise-scale AI transformation programmes Deep technical expertise across Python, .NET, cloud platforms, and MLOps Strong understanding of data governance, architecture, and DevSecOps Demonstrated ability to deliver measurable business outcomes and ROI Exceptional stakeholder management and executive communication skills Additional ...

learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability. Contribute to architecture … also crucial. Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Understanding of ML architectures, hyperparameter tuning, and performance optimisation. Experience with MLOps tools and CI/CD pipelines. Familiarity with data engineering concepts (ETL, data pipelines, SQL). Ability to analyse complex data and communicate insights effectively. ...

deployment models across enterprise environments Advising clients on suitable AI use cases and opportunities for enterprise-wide adoption Collaborating with Enterprise Architects, Data Scientists, MLOps Engineers, DevOps teams and business stakeholders to shape and deliver solutions Selecting and implementing appropriate cloud, open-source and commercial AI technologies Leading the delivery … hosting Retrieval Augmented Generation (RAG), vector databases, semantic search and embedding techniques Python development and AI frameworks such as PyTorch, TensorFlow and LangChain MLOps frameworks and AI model lifecycle management API integration and enterprise-wide AI solution delivery Presenting architecture solutions to senior stakeholders, governance forums and architecture boards ...

Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Experience with NLPs or LLMs Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus ...

capabilities to ensure solutions are secure, well-governed, and scalable. Engineering Excellence: Establish and enforce best practices for the automated SDLC, including DevOps/MLOps pipelines , coding standards, and rigorous testing frameworks. Stakeholder Synthesis: Translate complex business requirements from product owners and stakeholders into actionable, high-level technical plans ...

stakeholders to prioritise backlogs, manage risks, and translate requirements into actionable technical plans. Establish and enforce engineering best practices -including coding standards, DevOps/MLOps pipelines, testing frameworks, and documentation-to ensure high-quality delivery. Drive innovation by evaluating emerging data and AI technologies, leading proofs of concept, and embedding ...

product selling. Demonstrated success in selling: Generative AI and LLM-based enterprise solutions Predictive and prescriptive analytics Intelligent Automation (RPA + AI) Data Engineering, MLOps, and AI platforms Ability to articulate AI ethics, governance, security, and compliance considerations. Experience selling Managed AI Services and AI-as-a-Service models . ...

executive communication skills Strategic mindset combined with strong operational execution Preferred Background Experience within pharmaceutical, biotech, manufacturing, or other regulated industries Familiarity with MLOps, AI product operating models, and advanced analytics platforms Advanced degree in Data Science, Engineering, Computer Science, Statistics, or similar Track record of driving AI adoption ...

. Experience as a Microsoft Partner-side architect or having held roles within Microsoft (FTE/FDE/CSA). Familiarity with MLOps pipelines, Azure Machine Learning, and model governance tooling. Contributions to open-source AI projects or publications in AI/ML domains. Experience with multi-cloud AI strategies ...

stakeholders to translate business requirements into actionable technical solutions , manage delivery risks, and prioritise backlogs. Establish and enforce engineering best practices , including DevOps/MLOps, coding standards, testing frameworks, and documentation. Design and deliver innovative, scalable, secure, and sustainable solutions aligned with industry standards. Facilitate workshops and stakeholder engagement sessions ...

Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level and mentor senior technical talent ...

AI. Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical Expertise Represent Datatonic on site at client, at events, conferences, partner sessions, and executive ...

etc.* Strong understanding of networking and security concepts;### ### ****Additional experience preferred in:***** SRE observability experience with NewRelic or Datadog;* OpenTelemetry;* AIOps/MLOps;* SecOps.****How to Apply:**** Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.****Join ...

MLOps Platform Manager, Palantir Fully Remote | 6 Month Contract | Outside IR35 | £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus … products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir ...

Role Summary Wipro brings a Principal AI/ML Solutions Architect to partner with your organisation in designing and delivering enterprise-scale AI, MLOps, and Generative AI platforms . This role combines deep technical expertise with strategic advisory capability , ensuring your AI investments move beyond experimentation into production-grade, scalable … scalable, production-ready architectures Provide C-suite advisory on AI adoption, governance, and operating models Enterprise AI Platform Engineering Design and implement cloud-native MLOps platforms across AWS, Azure, and GCP Enable end-to-end ML lifecycle : data → training → deployment → monitoring Build secure, automated CI/CD pipelines for model ...

systems into complex banking and capital markets environments Establish and govern evaluation frameworks for AI and agent-based systems Oversee CI/CD, MLOps, and LLMOps practices across delivery teams Work closely with security, risk, and compliance teams to ensure ethical and regulated AI delivery Own and contribute to architecture … similar) Strong understanding of evaluation frameworks for AI/agent systems Experience implementing CI/CD pipelines and modern engineering practices Exposure to MLOps/LLMOps principles Experience working with at least one cloud hyperscaler (AWS, Azure, GCP, or Databricks) Strong Agile delivery experience (Agile, SAFe, XP, Jira, Confluence, etc. ...

including challenging delivery plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience ...

thermal, radar) Model optimisation/deployment tooling (ONNX, TensorRT) Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) Familiarity with MLOps tooling (e.g., DVC, MLflow) Relevant open-source contributions in computer vision Interested? If this sounds like you, apply with your CV or get in touch to discuss ...

agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams and manage complex AI projects. Advanced proficiency in Python , MLOps, and software engineering principles. Experience setting technical standards, governance frameworks , and performance benchmarks. Strong consulting mindset with the ability to translate emerging technology into business ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ...

Senior AI Engineer (Python LLM MLOps) London/WFH to £90k 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 ...