1 to 25 of 27 Permanent MLOps Jobs in the North West

platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms ...

Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services ...

internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control and environment management (such as venvs or Docker).** *Experience of writing technical project ...

Senior/Mid-Level MLOps Engineer Manchester (Hybrid) £45,000 - £80,000 + Bonus A fast-growing AI & Machine Learning consultancy is looking to hire multiple MLOps Engineers as they scale their technical team following continued growth across major public sector and enterprise projects. This is an opportunity to join … impact environments. What you’ll be doing: Building and deploying production-grade ML systems Working across cloud infrastructure, automation and model serving Designing scalable MLOps pipelines and infrastructure Collaborating closely with engineers, data scientists and clients Contributing to architecture decisions and engineering best practices Supporting the deployment and monitoring ...

experience and knowledge of technical approach to model development and contemporary ML engineering, including 3rd party platforms, routes to live and CICD pipelines for MLOps and data science maintaining a disciplined, auditable approach to architectural decision making aligned to agile principles working with other teams to ensure smooth operational introduction ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

MLOps Engineer (Mid–Senior Level) Multiple Positions Available Our client is a fast-growing, specialist technology consultancy focused on helping organisations successfully deploy and scale machine learning solutions in production. Operating at the forefront of AI and modern engineering, they partner with a wide range of clients to turn cutting … this organisation offers engineers the chance to work on meaningful problems while developing deep expertise in a rapidly evolving space. Role Overview: As an MLOps Engineer, you will play a key role in delivering production-ready machine learning systems within cross-functional engineering teams. Working across multiple client engagements ...

complex technical challenges into clear, business-focused insights A passion for raising engineering standards and mentoring others Experience with GA4 data modelling or supporting MLOps environments (e.g. Vertex AI) would be a bonus. About Matalan From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan ...

successful as an AI Enterprise Architect, you should have experience with: AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy. Stakeholder ...

business requirements into end-to-end AI architectures Lead the design of data pipelines, model training environments, and deployment frameworks Implement best practices for MLOps, CI/CD, and model life cycle management Evaluate and recommend AI tools, platforms, and frameworks Ensure alignment with data governance, security, and regulatory requirements … platforms (Azure, AWS, or GCP) and cloud-native architecture Strong background in data engineering and large-scale data platforms (e.g., Spark, Databricks) Experience implementing MLOps frameworks, including CI/CD and model governance Experience integrating AI into microservices, APIs, and enterprise systems Exposure to advanced AI techniques such ...

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 ...

AXA Group is looking for a Machine Learning Engineer to join their Transversal Data team in Bristol. The engineer will play a key role in modernizing the machine learning platform, collaborating closely with cross-functional ...

data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in the first ...

lifecycle Build high-performance Computer Vision systems for production deployment Drive development across Object Detection, Segmentation, Tracking, and Transformer-based architectures Define standards across MLOps, model quality, deployment, monitoring, and engineering best practice Improve the speed and efficiency of taking models from raw data to production Work cross-functionally with ...

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 ...

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. ...

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 ...

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 ...

experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Provide hands on technical leadership, contributing to architecture decisions and best practice. … delivery focused partner to stakeholders, confidently explaining trade offs and recommendations. Your Skills & Experience Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background. Proven ability to deploy, operate and maintain machine learning systems in production. Hands on experience with cloud based data ...

Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol | Onsite/Hybrid | Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most … programmes, only candidates holding active UK Developed Vetting (DV) clearance can be considered for this role . This opportunity sits at the forefront of MLOps, machine learning, and GenAI , working within a specialist team delivering high-impact solutions in complex, high-assurance environments. The position combines hands-on engineering with ...

helping to build out the wider ML function. You'll operate as a hands-on technical leader, setting best practice across ML pipelines, MLOps, and data products while working closely with Data Scientists, Engineers, and senior stakeholders. Key responsibilities include: Leading and championing ML Engineering as a core capability across … organisation Designing, building, and productionising end-to-end ML pipelines aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine ...

play a pivotal role in transforming and modernising our machine learning platform. You’ll collaborate across the organisation to define and implement MLOps best practices, while taking charge of designing, implementing, and maintaining the infrastructure, essential for the development and deployment of machine learning models. Working closely with Data Scientists … learning models into our production systems, driving innovation and excellence within AXA UK. Key responsibilities: Contribute to the design and the development of robust MLOps, and Agentic Ops frameworks that will enhance our capabilities and drive value across AXA. Take offline models data scientists build and turn them into ...

strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products … pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such ...

ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role … leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps ...

experimentation strategy, model optimisation and AI innovation Collaborating with Product, Engineering and Commercial teams to embed Data Science into core decision‐making Shaping scalable MLOps and ML infrastructure within AWS environments Mentoring and developing a technically strong team of Data Scientists and ML Engineers Influencing long‐term AI strategy … engineering Hands‐on experience with PyTorch and deploying scalable ML models Expertise in recommendation systems, pricing models or personalisation engines Strong understanding of MLOps, experimentation frameworks and ML infrastructure Experience operating within AWS cloud environments A commercially minded approach to AI, modelling and automation Track record of building, mentoring ...