76 to 100 of 108 MLOps Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

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 VP … 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 ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance. Developing deep learning architectures and implementing neural networks tailored to complex use cases. Implementing and maintaining MLops workflows Collaborating closely with Data Engineers and DevOps teams to support continuous integration, deployment, and automation. Exploring new tools and frameworks to keep your solutions modern and efficient. Working with … of machine learning architectures, loss functions, tools and techniques. Experience developing & training machine learning models, including hyperparameter tuning and optimizing model performance. Experience with (or at least exposure to) MLOps workflows, such as CI/CD pipelines. Experience with Python and SQL. Critical thinking and ability to problem solve. Experience in developing data pipelines, including exposure to ETL (Extract, Transform More ❯

to help us deliver some key projects. Key Responsibilities Ingesting and understanding new data sources, evolving our data approach (e.g., to a fully-fledged data fabric), implementing and streamline MLOps processes and exploring how we can sensibly and safely utilise artificial intelligence (AI) to turbo charge our work (e.g., smart data quality monitoring, meta data curation and service optimisation). … Understanding of Cloud security frameworks (specifically on the AWS Cloud) including appropriate data encryption Desirable Utilising AI within data engineering to drive performance Facilitating search tools such as Solr MLOps experience including familiarity with tools such as DVC & mlflow Full data engineering cycle knowledge (tools and skills) for stream data The Person You are someone who: Takes ownership and thrives More ❯

AI Engineer Up to £90,000 Salary Southern England x2 days per month OVERVIEW Xcede’s Data-driven Insurance client with an excellent Data Science, ML Engineering and MLOps team is hiring for an AI Engineer to join their AI unit. The organisation have been building commercially successful Data Science products for years, and are now pushing further into Generative … deployed machine learning models in production. Excellent use of Python Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects. CI/CD & MLOps experience is valued Databricks experience is valued If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel More ❯

Contract Python Engineers – Legal AI Outside IR35 £400-£650 (DOE) 6 months+ 1 day onsite (Cambridge or London) Innovare is the exclusive recruitment partner for a Legal-AI pioneer that’s redefining how contracts are reviewed, using a proprietary AI More ❯

Overview You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from More ❯

Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯

Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯

Solutions Architect - DevOps/DevSecOps/MLOps Solutions Architect UNITED KINGDOM DevOps Presales Engineer - LONDON - UNITED KINGDOM Salary: £160,000 (80/20 split) Remote Status: Hybrid - 3 days/week in LONDON office Job Description: We are looking for a DevOps Presales Engineer for our client, a market leader in DevOps, DevSecOps, and MLOps.This is a company trusted by … at industry events and conferences Train customers and community members on product capabilities Feed frontline insights back to the company to shape the product roadmap Stay ahead of DevOps & MLOps trends and bring that expertise to every customer conversation This is not a back-office DevOps role. You'll be front and centre in the sales process - a trusted technical More ❯

AI principles in all solutions. Hands-on Technical Leadership Serve as a player-coach-writing code, prototyping models, conducting experiments, and reviewing designs. Establish best practices for data science, MLOps, and model deployment at scale. Guide the selection of AI technologies, platforms, and tooling. Team Building & Mentorship Mentor team members and the broader business, fostering a culture of curiosity, experimentation … one or more of the following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience in building and deploying AI systems in production environments. Strong understanding of data governance, bias, fairness, and regulatory considerations in AI. Experience in the financial services More ❯

which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives, and continuous learning More ❯

Python, GCP, and Vertex AI foundations. What You’ll Be Doing Taking full engineering and architectural ownership of a synthetic data platform already in the advanced build phase. Driving MLOps and production deployment workflows across GCP, Vertex AI, and model lifecycle management. Making critical design decisions—defending your technical strategy and knowing when to push back. Collaborating with data scientists … with direct C-suite engagement in a global organisation with a multi-£billion turnover . What We’re Looking For Senior engineering authority with proven delivery of ML/MLOps platforms into production. Hands-on expertise in Python, Cloud and LLM solutions and model lifecycle management . Ability to operate in a high-visibility, high-stakes environment with resilience and More ❯

business needs from manufacturing, supply chain, engineering, and quality into actionable product requirements. Lead products from concept prototype production, ensuring scalability, performance, and regulatory alignment. Establish agile, DataOps, and MLOps practices to accelerate deployment of analytics and AI solutions. Guide the integration of operational data across ecosystems (MES, LIMS, ERP, QMS, plant-level data, SCADA, IoT, cloud). Track and … Deep domain expertise in global pharma, biopharma, or large-scale manufacturing/supply chain. Strong technical fluency: Data engineering & pipelines Cloud platforms Data science & AI/ML product delivery MLOps/DataOps principles Skilled at influencing product direction across cross-functional, multi-region teams. A strategic thinker capable of shaping long-term transformation while executing fast. Comfortable in complex, regulated More ❯