101 to 125 of 202 MLOps Jobs in the UK

degraded networks, tactical environments • Service background, or a track record of working closely with military, intelligence or law enforcement end users • Experience with MLOps tooling and platforms, or with building them How you work • You are comfortable with ambiguity and incomplete requirements. You go and find the answer • You take ...

inference performance via batching, quantisation, distillation, LoRA/PEFT, accelerator utilisation (GPU/TPU), and efficient memory/latency tuning Build and maintain MLOps/LLMOps workflows-CI/CD for models and prompts, model registry/versioning, feature stores, and automated promotion across environments Instrument observability for data, models … Gateways and ISTIO, ability to Diagnose and intercept failures in End to End communication Implement best practices for data governance, security, and MLOps on GCP Proficiency with Python and common AI/ML frameworks such as TensorFlow, PyTorch, JAX, scikit learn, and Hugging Face libraries Knowledge of MLOps and LLMOps ...

Lead the implementation of Generative AI models, LLMs, and agentic frameworks. •Collaborate with stakeholders to define problem statements and solution approaches. •Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. •Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. •Ensure high-quality delivery and adherence … Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data engineering, and software engineering. •Minimum 3 years in MLOps and AI/ML deployment. •Minimum **2 years in Generative AI, LLMs, and agentic frameworks. Preferred •Experience with API Gateway development and deployment on Azure ...

planning, QA) to ensure timely, quality delivery across multiple workstreams. Technical coaching & code review for Data Scientists/ML Engineers; establish standards for experimentation, MLOps, documentation, and testing. Prioritisation of the roadmap with Product Owners and business stakeholders; translate business problems into tractable ML and AI use cases and measurable … monitoring). Investigate new data and analytics technologies and contribute to the continual development and evaluation of our data architecture. Hands on Data Science & MLOps Build and review end-to-end ML pipelines: data validation, feature engineering, model training, evaluation, and CI/CD to production. Develop models ...

Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with … methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such ...

Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with … methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such ...

Inside IR35 contract | 3-6 month 1-2 days onsite requirement London or Birmingham We are seeking an experienced MLOps Engineer with a strong background in DevOps, Data Science, or Machine Learning Engineering, who has hands-on experience productionising ML models. The focus of the role is building and enabling … itself. Candidates must have deep MLflow experience and proven delivery in real-world client settings. Key Responsibilities Design, build, and maintain end-to-end MLOps environments to support model training, tracking, deployment, and monitoring Implement MLflow for: Experiment tracking; Model registry; Model versioning and lifecycle management Enable model deployment into ...

Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ...

frameworks Experience deploying models to production Financial services or data-heavy background Cloud ML tooling exposure Nice to Have NLP or time-series modelling MLOps experience Risk or fraud use cases Why Join Applied ML in production High-impact financial use cases Growing AI capability #J-18808-Ljbffr ...

Designing enterprise-scale data & AI architectures Shaping data strategy, governance, and engineering standards Leading architecture for ML, AI, and emerging GenAI solutions Overseeing MLOps and model lifecycle design (production AI at scale) Working across cloud platforms (AWS, Azure, GCP) Engaging with senior stakeholders to translate business needs into technical roadmaps ...

production-quality code Desirable Experience: PyTorch, TensorFlow, or similar ML frameworks Scientific computing/numerical methods/optimisation GPU acceleration or high-performance computing MLOps, model deployment, APIs, or production pipelines What’s great about this position: Focus on applied AI in real engineering systems Work on technically challenging, high ...

Confidence operating across multiple workstreams while building sustainable AI and analytics capability within teams Bonus Points For Hands-on experience with AI product development, MLOps, model lifecycle management or AI platform engineering Knowledge of responsible AI, model risk management, AI governance or ethical AI frameworks Experience supporting AI strategy, roadmap ...

Confidence operating across multiple workstreams while building sustainable AI and analytics capability within teams Bonus Points For Hands-on experience with AI product development, MLOps, model lifecycle management or AI platform engineering Knowledge of responsible AI, model risk management, AI governance or ethical AI frameworks Experience supporting AI strategy, roadmap ...

architectures that seamlessly integrate AI/ML solutions with existing insurance systems. Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, MLOps & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design. Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models … writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments. Experience in developing and integrating APIs especially related ...

architectures that seamlessly integrate AI/ML solutions with existing insurance systems. Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, MLOps & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design. Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models … writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments. Experience in developing and integrating APIs especially related ...

investment Build and scale generative AI capability across product features Define best practices for model evaluation, quality, and responsible AI Partner with Engineering and MLOps on deployment and operationalisation Mentor and develop a team of Data Scientists What We’re Looking For Experience leading Data Science/ML teams ...

pure manager) Nice to have FMCG/retail/commercial analytics experience (NIQ/Circana a plus) dbt/semantic layer design MLOps, evaluation & observability tooling Background in consulting or data science roles, now looking to own a product end-to-end Why this role is different Build real systems ...

cloud platforms and modern data architectures Proven ability to design and govern large-scale data and AI solutions Experience with CI/CD, MLOps and infrastructure-as-code approaches Confident communicator able to work with both technical and non-technical audiences Eligible for SC clearance (5+ years continuous UK residency ...

stay there Experience working in commercial environments where data drives decisions Strong Python (or R) experience across modern data science tooling Familiarity with MLOps, model monitoring, and deployment pipelines Ability to communicate complex outputs clearly to non-technical stakeholders ...

Synthetic Biology, Deep Tech, TechBio, Director of Engineering, ML Platform, AI Infrastructure, Lab Automation, Bioinformatics, Player-Coach, Engineering Leadership, AI Agents, LLMs, Python, Numpy, MLOps, Life Sciences AI, Biotechnology. ...

looking for An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery. Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services. Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals. ...

simulation + tele‐op logs, version them, apply weak‐supervision labelling, curate balanced datasets, and auto‐surface fresh failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems ...

internal capability Bonus Points For Prior experience in business development or pre-sales within a consultancy environment Hands-on familiarity with modern data science, MLOps or AI operationalisation Knowledge of data ethics, AI governance or analytics operating models Change management or business analysis experience within large transformation programmes Confidence ...

internal capability Bonus Points For Prior experience in business development or pre-sales within a consultancy environment Hands-on familiarity with modern data science, MLOps or AI operationalisation Knowledge of data ethics, AI governance or analytics operating models Change management or business analysis experience within large transformation programmes Confidence ...

clearly communicate to both technical and non‐technical audiences. Ability to work effectively in a cross‐functional team. Experience with model lifecycle management and MLOps, including model deployment, versioning and monitoring. Good knowledge of cloud services, ideally AWS. Knowledge and understanding of best practices such as testing, code management ...