301 to 325 of 414 MLOps Jobs in the UK

of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps and performance monitoring. Design and build robust, scalable ETL/ELT pipelines to ingest large volumes of data from APIs, web scraping, and multiple data sources. Own the scalability, reliability … technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... Are a zero-to-one More ❯

of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps and performance monitoring. Design and build robust, scalable ETL/ELT pipelines to ingest large volumes of data from APIs, web scraping, and multiple data sources. Own the scalability, reliability … technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... Are a zero-to-one More ❯

Data Scientist Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI We're supporting a growing, forward-thinking organisation in their search for an experienced Data Specialist. This is More ❯

hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own the infrastructure and tooling that turns experimental models into dependable production systems. You will build the pipelines, monitoring, and deployment workflows that allow our Research Engineers More ❯

hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own the infrastructure and tooling that turns experimental models into dependable production systems. You will build the pipelines, monitoring, and deployment workflows that allow our Research Engineers More ❯

Quantitative Developer – Trading – MLOps/Python A hedge fund is building out their AI capability and have an opportunity for a quantitative developer to play a key role in building out MLOps workflows and pipelines for the trading desks. This role is ideally suited to a software engineer or quantitative developer with experience delivery solutions directly for trading desks, who … has excellent Python skills, with a solid background in one of Java/C C#, who has experience building MLOPs pipelines for data scientists, AI engineers, quants, traders and leadership, to build strategic systems and enhance production systems. You should apply for this role if you are/have: 10+ years software engineering/quantitative development within financial markets Excellent … Python (NumPy, PyTorch, TensorFlow, Scikit); solid OO background in C++, Java or C# Strong MLOps and AI/ML model lifecycle experience Strong financial product knowledge and experience delivering solutions for trading/pricing Degree educated or higher in a relevant discipline from a leading academic institution This is an £800-900/day PAYE role based London initially for More ❯

Quantitative Developer – Trading – MLOps/Python A hedge fund is building out their AI capability and have an opportunity for a quantitative developer to play a key role in building out MLOps workflows and pipelines for the trading desks. This role is ideally suited to a software engineer or quantitative developer with experience delivery solutions directly for trading desks, who … has excellent Python skills, with a solid background in one of Java/C C#, who has experience building MLOPs pipelines for data scientists, AI engineers, quants, traders and leadership, to build strategic systems and enhance production systems. You should apply for this role if you are/have: 10+ years software engineering/quantitative development within financial markets Excellent … Python (NumPy, PyTorch, TensorFlow, Scikit); solid OO background in C++, Java or C# Strong MLOps and AI/ML model lifecycle experience Strong financial product knowledge and experience delivering solutions for trading/pricing Degree educated or higher in a relevant discipline from a leading academic institution This is an £800-900/day PAYE role based London initially for More ❯

experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record of successfully evolving existing systems and innovating with new solutions. MLOps & Modern Practices : Strong understanding of modern data science and MLOps practices, including model lifecycle management, experimentation, and CI/CD. Core Programming & Software Craftsmanship : Proficiency in Python and SQL, with More ❯

ML platforms for enterprise-wide adoption. Lead deployment of LLM, RAG, and Generative AI systems at scale. Partner with business, data, and engineering teams to operationalize AI initiatives. Establish MLOps and LLMOps frameworks for lifecycle automation, compliance, and monitoring. Champion Responsible AI practices across all stages of development and deployment. What We’re Looking For ✅ 8+ years of experience in … Snowflake and MongoDB for data modeling and integration. ✅ Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity and technology excellence to build the future of digital innovation. You’ll join a team More ❯

Act as a subject matter expert on Databricks ML capabilities, advising on architecture, tools, and integrations Mentor peers and junior engineers on ML engineering practices, with a focus on MLOps and Databricks workflows Continuously improve the machine learning platform, tooling, and deployment practices to accelerate delivery Experience and Qualifications Required: Deep hands-on experience with Azure Databricks, particularly in developing … pandas, PySpark) and experience using SQL for data preparation and analysis Experience orchestrating end-to-end ML pipelines, including data preprocessing, model training, validation, and deployment Solid understanding of MLOps principles, including model versioning, monitoring, and CI/CD for ML workflows Familiarity with Azure cloud services, including Azure Data Lake, Azure Machine Learning, and Data Factory Experience with feature More ❯

quality, governance, lineage, and security standards to maintain a trusted and compliant AI data ecosystem. Mentor and uplift teams, promoting best practices in Databricks usage, scalable data engineering, and MLOps integration. Troubleshoot and resolve complex platform issues, acting as the senior escalation point for Databricks and AI architecture concerns. Continuously improve data platform architecture, tools, and engineering practices to support … high reliability and performance requirements. Solid grounding in data governance, security, and compliance frameworks, ensuring solutions meet organisational and regulatory standards. Hands-on experience with CI/CD and MLOps practices, leveraging modern DevOps tooling to enable reliable and automated deployment of data and AI pipelines. Exceptional problem-solving abilities with a track record of diagnosing and resolving complex technical More ❯

Microsoft Fabric, Microsoft Graph, Azure Cognitive Services, Databricks, Power Platform, AI Builder, Power Automate, Dynamics 365 (F&O/CE/BC), LLMs, agentic AI, product ownership, roadmap, backlog, MLOps, Responsible AI, data governance, rapid prototyping, commercialisation, £75,000 - £80,000 per annum Copilot Lead - Join a trusted Microsoft Partner specialising in business and technology transformation for project-based companies. … roadmapping, backlog management, value hypothesis, and outcome-based prioritisation. Strong architecture and engineering acumen across Azure AI, Databricks, Fabric, Copilot Studio, and integration patterns for D365 and Power Platform. MLOps and lifecycle management - CI/CD for models, monitoring, drift management, and continuous improvement. Hands-on capability in programming and data engineering (for example Python or C#), with fluency in … F&O, CE, BC) and the Power Platform. Embed intelligent automation, predictive analytics, and natural-language experiences within ERP and line-of-business processes for project-based industries. Guide MLOps practices for deployment, monitoring, and continuous improvement; set engineering standards for reliability, security, and cost control. Maintain a rapid prototyping cadence to validate value fast, then harden promising POCs into More ❯

🚀 AI Engineer (LangGraph Expert) Salary: £90k - £130k + Equity + Bonus Location: Remote/Hybrid in London We’re looking for a brilliant AI Engineer who’s passionate about building intelligent, agentic systems using LangGraph. If you thrive at the More ❯

🚀 AI Engineer (LangGraph Expert) Salary: £90k - £130k + Equity + Bonus Location: Remote/Hybrid in London We’re looking for a brilliant AI Engineer who’s passionate about building intelligent, agentic systems using LangGraph. If you thrive at the More ❯

A global lifestyle brand is hiring a Data Scientist to join the team. You will report to the Director of Global Customer Data Science and work on developing predictive models and customer segmentation strategies to enhance personalised experiences and improve More ❯

A global lifestyle brand is hiring a Data Scientist to join the team. You will report to the Director of Global Customer Data Science and work on developing predictive models and customer segmentation strategies to enhance personalised experiences and improve More ❯

A global lifestyle brand is hiring a Data Scientist to help uncover insights from customer data and drive personalisation across the consumer journey. The role sits within the Consumer Intelligence and Experience (CIX) team, which leads market research, segmentation, and More ❯

Lead MLOps Engineer – AI Consultancy | Manchester | £70k–£85k + Equity We’re looking for a Lead MLOps Engineer to help shape the future of AI deployment. Based in Manchester City Centre (3 days on-site), you’ll lead technical direction, manage engineers, and work hands-on with clients to bring AI into production. What you’ll be doing: Leading the … technical delivery of MLOps projects Balancing hands-on engineering with leadership responsibilities Managing and mentoring a team (1:1s, development planning) Working across research, prototyping, and production divisions Supporting commercial engagements and client relationships What we’re looking for: Proven experience owning and delivering multiple projects Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow … PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Experience with cloud platforms and MLOps best practices Emotional intelligence and people leadership skills UK citizen eligible for SC clearance Why join? £70k–£85k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension A collaborative, mission-driven team working on cutting-edge AI More ❯

Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite Im on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact. Youll be joining a scaling B2B tech company … MLflow. Solid background in data modelling, ELT/ETL processes, and analytics best practices. If youre ready to make an impact in a growing tech company and bring your MLOps expertise to the table GET IN TOUCH today! Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion More ❯

Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite I’m on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact. You’ll be joining a scaling B2B … Solid background in data modelling, ELT/ETL processes, and analytics best practices. If you’re ready to make an impact in a growing tech company and bring your MLOps expertise to the table — GET IN TOUCH today! Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion More ❯

pipelines using LLMs and transformer-based architectures. Analyse unstructured data, including medical text and images. Develop predictive models for underwriting decisions. Implement automated ML workflows, CI/CD, and MLOps practices. Architect APIs for model integration and external system interaction. Monitor performance to ensure scalable, reliable production deployments. What We’re Looking For: Essential: Experience with LLMs (GPT, BERT) and … for domain-specific applications. Strong Python skills (OOP, PyTorch, Hugging Face, scikit-learn, Pandas, NumPy). Deploying models with Docker, Kubernetes, or serverless platforms. Familiarity with CI/CD, MLOps, and cloud platforms (AWS preferred). Desirable: Named entity recognition, recommendation systems, or image analysis. Knowledge of Java (Spring Boot) or GitLab/GitHub CI/CD. Why Join? Lead More ❯

pipelines using LLMs and transformer-based architectures. Analyse unstructured data, including medical text and images. Develop predictive models for underwriting decisions. Implement automated ML workflows, CI/CD, and MLOps practices. Architect APIs for model integration and external system interaction. Monitor performance to ensure scalable, reliable production deployments. What We’re Looking For: Essential: Experience with LLMs (GPT, BERT) and … for domain-specific applications. Strong Python skills (OOP, PyTorch, Hugging Face, scikit-learn, Pandas, NumPy). Deploying models with Docker, Kubernetes, or serverless platforms. Familiarity with CI/CD, MLOps, and cloud platforms (AWS preferred). Desirable: Named entity recognition, recommendation systems, or image analysis. Knowledge of Java (Spring Boot) or GitLab/GitHub CI/CD. Why Join? Lead More ❯

knowledge, guide others, and shape how AI is taught in the real world. You will deliver live sessions, coach learners on real projects, and evolve our curriculum across ML, MLOps and GenAI. This is a role for someone who thrives where deep tech and human development meet, and is equally comfortable explaining gradient boosting as mentoring a team through model … Careers, and Partner teams to align learning with industry demand. What you will teach: Core ML/DL: supervised and unsupervised learning, feature engineering, regularisation, tree methods, neural nets. MLOps: tracking, CI/CD, containerisation, orchestration, monitoring, model drift. GenAI/LLMs: RAG, prompt engineering, LoRA fine-tuning, safety, evaluation. Tooling: Python, pandas/PySpark, MLflow, Weights and Biases, Docker … problem framing, stakeholder communication, technical writing. What you will bring: 3+ years building and deploying ML systems in production Strong Python and applied ML/DL experience. Hands-on MLOps knowledge (tracking, deployment, monitoring). Great communication: ideally, you’ve mentored, taught, or led internal training before. Curious, adaptive mindset; you love learning as much as teaching. Bonus points for More ❯

computer vision depending on project scope) Work closely with data scientists, engineers, and client stakeholders to translate use cases into scalable technical solutions Build and optimise data pipelines and MLOps workflows Integrate AI components into broader data or product architectures Stay current with emerging AI frameworks, libraries, and model optimisation techniques What We’re Looking For Strong Python and ML … ecosystem experience (PyTorch, TensorFlow, Hugging Face, LangChain, etc.) Proven delivery of AI/ML solutions in production environments Experience with cloud platforms (Azure, AWS, or GCP) and MLOps tooling (MLflow, Vertex AI, etc.) Ability to communicate clearly with both technical and non-technical stakeholders Background in life sciences, healthcare, or regulated industries is a bonus Why Work With Us High More ❯

Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and the leadership team. What this Head … Learning will bring: Deep experience in NLP/LLMs/semantic search/embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. More ❯