601 to 625 of 707 MLOps Jobs in the UK

understanding of the full ML lifecycle and strong software/platform instincts - you know what it takes to run reliable ML at scale – including MLOps tooling and practices Experience raising operational standards: SLIs/SLOs, monitoring, incident management, and production reliability Budget ownership, including infrastructure cost management and vendor oversight … associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including New Relic and Braintrust More information Enjoy fantastic perks like private healthcare & dental insurance ...

is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha ...

Description The Role We are seeking a capable Consulting Data Architect to join our Insurance Technology Consulting practice and play a pivotal role in shaping, selling, and delivering data-led consulting engagements for insurance clients. ...

Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in ...

Hybrid - Minimum 3 days on site in London, Tower Bridge HQ About Hometrack At Hometrack, we’re redefining the mortgage journey for lenders, brokers and borrowers. We deliver market-leading valuation and risk evaluation services ...

We are hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind our sensing and communications technology. You will take ideas from a clean sheet through to ...

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering ...

Data Scientist Berkshire - Hybrid 2 days office attendance Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale ...

Accenture is seeking a Data Scientist Associate Manager in London to lead MLOps engagements and deliver cutting-edge AI solutions for government and defence environments. You will guide a small team, own technical delivery, and collaborate with clients to translate complex data into actionable outcomes. The role requires strong Python ...

production services, owning deployment, monitoring and retraining while building reusable components and standards. You will work with Data Scientists and Data Engineers to shape MLOps, bring software engineering practices into the modelling lifecycle, and accelerate production quality ML across PureGym businesses. #J-18808-Ljbffr ...

developers in a hybrid London setting. Successful candidates will have hands-on NLP model experience, strong Python data science skills, and familiarity with MLOps, CI/CD, and agile ways of working to drive scalable, #J-18808-Ljbffr ...

capabilities and scale machine learning across the business. The organisation currently has multiple machine learning models operating in production, but recognises that it’s MLOps capability and supporting foundations are still relatively immature. This role has been created to provide the seniority, technical leadership and real-world experience required … establish best practice, improve operational maturity and ensure machine learning can be delivered reliably at enterprise scale. Key Responsibilities Lead the maturation of the MLOps function and build the capability Establish robust MLOps foundations, frameworks and engineering standards. Improve model monitoring, governance, reliability and scalability. Develop processes to manage model ...

Barclays is seeking an experienced MLOps Engineer to lead deployment pipelines and governance for enterprise ML initiatives. You will implement and optimize SageMaker, Databricks, and MLflow, driving reproducibility, security, and scalable AI solutions across teams. Strong emphasis on collaboration with data scientists and infra engineers. The role requires hands ...

Strategy. Design end-to-end AI solutions: Design AI solutions spanning generative AI and large language models, machine learning, and the data pipelines and MLOps needed to deploy and operate them responsibly and at scale. Set guardrails for AI agents: Define reference architectures and guardrails for AI agents, including tool … learning concepts, including generative AI and large language models, and how they are applied in enterprise solutions Understanding of the data architecture, pipelines and MLOps needed to build, deploy and operate AI solutions, and of AI and ML platforms, tooling and services (cloud AI/ML services, LLM frameworks ...

experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment.* Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.* Build internal data products to improve the speed and quality … problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms ...

They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Key Responsibilities MLOps Leadership: Build and evolve model deployment pipelines, registries, and monitoring frameworks. Tooling & Integration: Implement and optimize SageMaker, Databricks, MLflow, and related orchestration tools. Governance & Risk … Hands-On Delivery: Write production-grade Python code for automation, orchestration, and monitoring. Collaboration: Partner with data scientists, quants, and infra teams to align MLOps capabilities with business needs. Mentorship: Coach engineers on best practices for ML lifecycle management and secure deployment. Required Skills Strong Python engineering background. Deep experience ...

deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. About the Candidate Essential Experience Extensive experience in Python and proficiency … other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience ...

Sensible is seeking a Senior MLOps & Data Engineer to build and scale a production-grade ML platform linking lab data, cloud infrastructure, and model deployment. You will translate research workflows into robust services, collaborate with scientists, and advance data quality, governance, and observability. The role emphasizes building secure, scalable cloud ...

Hastings Direct is seeking an MLOps Engineer to turn pricing models and data science work into reliable production workflows. You will collaborate with Pricing, Data Science, Data Engineering and ML Engineering teams to build testable, observable pipelines in a hybrid setup across Leicester, Bexhill and London. The role is hands ...

LEGO Group seeks a Senior MLOps Engineer for a 16-month parental cover to bring ML models into dependable production environments. You will connect data science, data engineering and software engineering to deliver reliable solutions that scale while preserving stability. The role focuses on deployment, monitoring and risk management across ...

JPMorgan Chase in London seeks a Lead MLOps Platform Engineer to design a scalable ML platform for training, deployment and monitoring. You will work with data scientists and engineers, driving product-enabled fintech solutions across squads and mentoring teammates on best practices. You will leverage cloud, CI/ ...

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering ...

Senior Data Scientist £75,000 + benefits | Holborn, London | Office-based Monday-Thursday Build AI-powered products that turn customer data into commercial impact. Join an established analytics and technology business developing cutting-edge SaaS ...

An AI Solution Architect is responsible for designing and overseeing the implementation of technical solutions, specifically those involving how we build and operate with AI. The role exists within our Corporate function to enforce keeping ...

About Unifeye Unifeye is a delivery-led, Databricks-first consultancy helping organisations unlock the full value of their data and AI. We're a lean, high-growth team based in London, working at the intersection ...