19 of 19 Permanent MLOps Jobs in the South East

EXPERIENCE Strong experience delivering data science or machine learning solutions in production environments. Proven capability deploying and scaling models using appropriate engineering and MLOps practices. Advanced Python and SQL skills, with experience working in cloud environments such as AWS, GCP or Azure. Familiarity with modern tooling such as Databricks, version ...

systems, not just research prototypes Strong software engineering fundamentals: modular design, testing, and version control Experience with cloud/GPU training infrastructure and MLOps workflows Ability to design evaluation and benchmarking frameworks Hands-on experience with pose estimation, object detection/segmentation, camera calibration, and sensor integration Preferred Experience Strong ...

frameworks such as PyTorch, TensorFlow, or JAX • Experience building scalable ML systems for production environments • Familiarity with cloud or GPU based training infrastructure and MLOps workflows • Experience designing evaluation, testing, and benchmarking frameworks • Hands on experience with object detection, segmentation, pose estimation, camera calibration, and sensor integration Additional experience with ...

years of experience in software engineering with a proven track record in a DevSecOps and Agile environment. Deep practical experience with RAG, LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript. What will give you a competitive edge (preferred qualifications): Expert-level understanding of NLP, Embeddings, and Prompt ...

years of experience in software engineering with a proven track record in a DevSecOps and Agile environment.* Deep practical experience with RAG, LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript.**What will give you a competitive edge (preferred qualifications):*** Expert-level understanding of NLP, Embeddings, and Prompt ...

Working closely with product, engineering, and business stakeholders to define requirements and trade offs. Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices. Taking responsibility for monitoring, performance, and ongoing improvement of live models. Your Skills and Experience Strong commercial data science experience with a solid ...

security. Excellent program management, communication, and stakeholder alignment skills. Preferred Qualifications Experience rolling out productivity tools and measuring their adoption and impact. Knowledge of MLOps and AI deployment practices at scale. Familiarity with compliance and risk considerations for AI (e.g., data residency, model governance). Hands‐on technical expertise ...

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 ...

strong technical architecture.* Drive the transition from experimental AI capabilities to scalable production systems.**What We Are Looking For*** Strong engineering background (ML engineering, MLOps engineer, or equivalent).* Proven experience building complex systems from 0→1.* Ability to independently write production-quality code and build functional prototypes.* Practical experience ...

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 ...

LLMs and tools such as LangChain or similar ecosystems * Expertise in building applications including chatbots, document processing, or agent based systems * Solid understanding of MLOps, scalable architecture, and deployment best practices * Comfortable working in ambiguous, greenfield environments with high autonomy * Strong stakeholder engagement skills, with experience influencing senior leaders What ...

technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally … data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days ...

As a Lead Engineer, you will be part of our Enterprise AI engineering team to deliver secure, reliable, and innovative AI solutions across our business. In this role, you’ll be responsible for advancing our ...

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 ...

Senior MLOps Engineer East Molesey, England, United Kingdom Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will improve and manage Machine Learning Operations on Azure and participate in creating, assessing, and advancing ...

Senior MLOps Engineer East Molesey, England, United Kingdom Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered. Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with ...

capabilities to support real world use cases such as contract and tender analysis * Working within an Azure cloud environment and applying best practices in MLOps and DevOps * Collaborating closely with product teams and senior leadership, including acting as a key partner to the Director of AI Y our Skills … deploying LLM based applications in production environments * Experience working with cloud platforms and modern deployment practices, ideally within Azure * Knowledge of DevOps or MLOps principles * Ability to define architecture and build AI solutions end to end * Strong communication skills and experience working with a range of stakeholders What They Offer ...

Senior/Lead Machine Learning Engineer - Time-Series, Pricing, Customer Behaviour, Feature stores, MLOps London Hybrid | £100,000 – £120,000 + Equity This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting … hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. N.B. - They do not offer visa ...

As the Presales AI Solutions Architect within our AI Practice, you'll play a key role in technological advancement, developing a team and leading successful projects in all UK sectors. You will have the opportunity ...