51 to 75 of 86 MLOps Jobs in the UK excluding London

MLOPS Engineer My client, a large consultancy, is in need of an MLOPS Engineer for a 6 month rolling contract inside IR35, offering 2 days per week remote but requiring 3 days per week on-site in Wokingham. The ideal candidate will have good experience in the IT industry with a strong focus on Azure-based architecture, Machine Learning, and … MLOps, Deep experience with Azure services, especially Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Data Lake, and Azure Synapse, Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, Strong understanding of MLOps concepts, including continuous integration/continuous, deployment (CI/CD) for ML, model versioning, monitoring, and retraining, Proficiency with Scripting and programming More ❯

Proven ability to design and deploy full-stack AI pipelines in production Strong experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of More ❯

Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to More ❯

Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to More ❯

a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt evaluation, and dataset curation Familiarity with MLOps tools (e.g. Weights & Biases, SageMaker, MLflow) Experience working in regulated sectors like insurance, banking, or property What You'll Be Doing This is a hands-on, high-impact role - you More ❯

departmental strategies to ensure solutions deliver measurable impact across the business Build and maintain robust AI/ML pipelines from data ingestion through to production deployment Apply AIOps/MLOps/ModelOps best practices: version control, CI/CD, model monitoring, automated testing, and reproducibility Stay on top of emerging AI tools, frameworks, and research; contribute to R&D and … is in the Python ecosystem Skilled in core Data Science practices including data preprocessing, feature engineering, model evaluation, data orchestration, and data structures, etc Hands-on with AIOps/MLOps/ModelOps tooling (Docker, Kubernetes, MLflow, model monitoring, CI/CD) Experience integrating AI/ML solutions into business processes and operational systems Ability to work closely with stakeholders, translating More ❯

ETL/ELT pipelines using Spark, Python, SQL, and Databricks workflows Integrate with Azure services and BI tools (e.g., Power BI) Optimise performance and support CI/CD and MLOps pipelines Enable knowledge transfer through code reviews, training, and reusable templates Key Skill s: In-depth experience with Databricks (Delta Lake, Unity Catalog, Lakehouse architecture). Strong knowledge of Azure More ❯

assess and onboard new AI systems. - Evaluate solutions for compliance with internal policies and external regulations. Security & DevSecOps Integration: - Integrate AI security controls into CI/CD pipelines and MLOps workflows. - Monitor AI systems using Azure Monitor and Application Insights. Policy Implementation & Regulatory Alignment: - Translate regulatory requirements into actionable engineering guidelines. - Ensure compliance with transparency, data minimization, and incident response More ❯

ML teams in high-velocity environments. Deep knowledge of modern ML (supervised, unsupervised, generative, self-supervised learning, etc.). Strong understanding of ML systems at scale: inference pipelines, observability, MLOps, data pipelines, etc. Background in building ML for real-world infra, distributed systems, or low-latency environments is a big plus. Confident working at both strategic and technical depth, exec More ❯

NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain, marketing data) Ability to translate complex technical concepts into clear business terms and effectively communicate with More ❯

insights and enhance engagement. Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met. Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation. Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems. Qualifications: 3+ years of experience delivering full … Experience with frontend frameworks: React, Vue, or Angular. Hands-on experience building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services. Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD pipelines. Experience with prompt engineering, LLM evaluation, and vector databases (Pinecone, Weaviate, FAISS). Excellent communication skills and More ❯

to enhance service delivery and operational efficiency. Operational Excellence Ensure high availability, scalability, and resilience of all client-facing and internal systems. Implement best-in-class ITIL, DevOps, and MLOps practices. Manage vendor relationships and technology partnerships to maximize value and innovation. People & Culture Build and mentor a high-performing, diverse technology team. Foster cross-functional collaboration and alignment between More ❯

Learning (Azure ML), covering training, testing, and deployment to production.* Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools.* Implement CI/CD pipelines with Azure DevOps, ensuring … Training & Innovation * Clearly communicate ML model behaviour, performance, and limitations to both technical and non-technical stakeholders.* Support and upskill colleagues in the use of Azure ML tools and MLOps practices.* Explore and propose innovations based on emerging trends in Azure AI/ML and financial analytics. Essential Criteria * Demonstrated experience deploying and managing production machine learning models using Azure … Machine Learning.* Strong grasp of MLOps principles, including CI/CD, model monitoring, and retraining pipelines.* Experience with Python, SQL, and Azure data services such as Data Factory, Blob Storage, or Data Lake.* Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows.* Familiarity with reporting and visualisation tools (e.g., Power BI).* Strong communication skills, with the More ❯

data science can deliver measurable value. Create powerful visualisations and present findings to technical and non-technical stakeholders. Build, deploy, and maintain robust data pipelines and production-grade models (MLOps). Champion ethical data practices, governance, and high-quality documentation. Stay up to date with AI and data science innovations, bringing cutting-edge thinking into the business. As a Data … data science can deliver measurable value. Create powerful visualisations and present findings to technical and non-technical stakeholders. Build, deploy, and maintain robust data pipelines and production-grade models (MLOps). Champion ethical data practices, governance, and high-quality documentation. Stay up to date with AI and data science innovations, bringing cutting-edge thinking into the business. Experience required A … e.g., TensorFlow, PyTorch, Scikit-learn). Strong skills in data storytelling, problem-solving, and working with both structured and unstructured data. Experience with APIs, cloud platforms (especially AWS), and MLOps practices is a strong advantage. A collaborative, curious mindset with excellent communication skills and a passion for innovation. Benefits include: Salary £55,000 dependant on experience Hybrid working, two days More ❯

solutions. Assist in fine-tuning large language models (LLMs) and retrieval-augmented generation (RAG) systems. Optimize model performance and work on deployment strategies using cloud-based AI solutions. Support MLOps best practices to streamline AI development workflows. Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers. Capable of translating theoretical insights into … personalization engines. Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate). Understanding of AI model interpretability and ethical AI considerations. Exposure to real-time AI applications and MLOps workflows. Why Join Us? Work alongside industry experts on cutting-edge AI projects. Opportunity to grow and advance in a fast-paced, innovative environment. Competitive compensation, benefits, and professional development More ❯

MLOps Engineer A high-performance company who develop software and hardware products for the entertainment, engineering and life science industries are looking for a MLOps Engineer to join the team in Oxford. The team are looking for an excellent ML Ops Engineer to join their research and development team in Oxford, England. This opportunity is to join the ML Operations … Exposure to cloud based systems e.g. AWS, Azure or GCP (they use AWS) Knowledge of Linux systems including scripting and system configuration. Understanding of how ML tools fit into MLOps pipeline Desirable: Programming experience – ideally C++ or Java Background in DevOps – CI systems, Infrastructure-as-code Location – Oxford (Hybrid working 2 days a week onsite) Salary – Up to More ❯

Solutions Architect - DevOps/DevSecOps/MLOps Solutions Architect UNITED KINGDOM Solutions Architect - DevOps/DevSecOps/MLOps - LONDON - UNITED KINGDOM Salary: £ 160,000 (80/20 split) Remote Status: Hybrid - 3 days/week Job Description: Looking for a new pure-play Pre-Sales/Sales Engineer role at a market leader in DevOps, DevSecOps, and MLOps Well, this … Represent the company at industry events and conferences Train customers and community members on product capabilities Feed back frontline insights 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 architect role. You'll be front and centre in the sales process - a trusted technical More ❯

big data workflows Utilize Azure Cloud services (Data Lake, Functions, App Services) for development and deployment Implement and maintain containerized solutions using Docker and CI/CD pipelines Apply MLOps practices using tools like MLFlow , Git-based versioning, and environment tracking Build and integrate AI and intelligent automation frameworks Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience … Databricks or Microsoft Fabric Proficiency in Azure cloud services including Data Lake, Functions, and App Services Strong understanding of Docker , CI/CD workflows, and automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language More ❯

Job description At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for More ❯

An incredibly exciting opportunity has arisen for a MLOps Enigneer to join a Global Market Leader based in Oxfordshire, spearheading technology for both marker & markerless motion capture technology. This Academy Award®-winning company, and the world’s largest supplier of precision motion capture and tracking systems and is at the forefront of innovation in the industry. Developing high performance software … crucial measurement tool for biomechanics, robotics, and cutting-edge science. Due to their continued success, they are looking to expand their engineering team and are looking for an excellent MLOps Engineer to join the research and development team in Oxford, England. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building … Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to More ❯

Location: Haywards Heath, Home Office (Remote) or Manchester Salary: £56,000 - £70,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been More ❯

Press Tab to Move to Skip to Content Link Job Title: Software Engineer - MLOps Job Band: C Contract Type: Permanent, Full-time Department: Machine Learning Enablement Team Location: Salford - Hybrid working with 1 day a week expected in office base location. Salary: £45,000 - £55,000 depending on relevant skills, knowledge and experience. The expected salary range for this role … work within the team to build/maintain machine learning infrastructure. Your Key Responsibilities And Impact Contribute to the design, development, and maintenance of tools supporting data science and MLOps workflows Implement software solutions in a structured and professional approach, adhering to industry best practices. Help monitor performance of new functionality and offer ideas on how it could be improved … principles). Experience of AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift Experience of DevOps practices, including containerisation with Docker and CI/CD pipelines. Exposure to MLOps tools (e.g., MLFlow) and practices, with a willingness to learn more. Exposure to infrastructure-as-code tools (CDK, CloudFormation) Knowledge of feature engineering, data pre-processing, data pipelines Awareness of More ❯

Machine Learning Operations Engineer Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role More ❯

Machine Learning Operations Lead Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project More ❯

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