west london, south east england, United Kingdom Hybrid / WFH Options
NearTech Search
Staff MLOps Engineer – Digital Twin Healthcare Platform (AWS) Location: London (Hybrid – 2–3 days per week in the office) Salary: £100,000–£130,000 + equity Right to work: Unfortunately, visa sponsorship is not available for this role My client is a well-funded, London-based SME developing an innovative … get creative with your solutions, while still having a solid technical foundation to build from. They're now on the lookout for a staff MLOps Engineer (ideally someone already operating at lead/staff level) who’s deep into their AWS and wants to be hands-on in shaping the … s a hugely rewarding space to be in, both in terms of impact and the technical challenges. Key responsibilities: Design, build, and maintain scalable MLOps infrastructure within AWS Develop and manage CI/CD pipelines for machine learning training and deployment Implement robust data pipelines to support ML workflows from More ❯
south west london, south east england, United Kingdom Hybrid / WFH Options
NearTech Search
Staff MLOps Engineer – Digital Twin Healthcare Platform (AWS) Location: London (Hybrid – 2–3 days per week in the office) Salary: £100,000–£130,000 + equity Right to work: Unfortunately, visa sponsorship is not available for this role My client is a well-funded, London-based SME developing an innovative … get creative with your solutions, while still having a solid technical foundation to build from. They're now on the lookout for a staff MLOps Engineer (ideally someone already operating at lead/staff level) who’s deep into their AWS and wants to be hands-on in shaping the … s a hugely rewarding space to be in, both in terms of impact and the technical challenges. Key responsibilities: Design, build, and maintain scalable MLOps infrastructure within AWS Develop and manage CI/CD pipelines for machine learning training and deployment Implement robust data pipelines to support ML workflows from More ❯
channelling our start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact. As a Principal MLOps Engineer at JPMorgan Chase within the International Consumer Bank, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted … the firm's culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and MLOps applied experience. Experience with machine learning engineering and operations in a large enterprise. Experience in building, evaluating and deploying ML models into production. Experience leading More ❯
channelling our start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact. As a Principal MLOps Engineer at JPMorgan Chase within the International Consumer Bank, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted … the firm's culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities and Skills: Formal training or certification on software engineering concepts and MLOps applied experience. Experience with machine learning engineering and operations in a large enterprise. Experience in building, evaluating and deploying ML models into production. Experience leading More ❯
working on a programme whose aims are to evaluate and help develop state-of-the-art AI algorithms using a dedicated machine learning operations (MLOps) platform. Algorithms that pass the evaluation will be used by clinicians managing the treatment of cancer patients, and by scientists developing and evaluating novel therapies. … our imaging AI and radiomics pipelines and has provided crucial leverage in securing competitive funding. We have recently set up a machine learning operations (MLOps) platform to evaluate AI algorithms, either developed in house or brought in by a third party, in a real-world clinical environment. Working for our … achievements. Detailed job description and main responsibilities For further information on this role, please see the attached detailed Job Description and Person Specification: Use MLOps to evaluate algorithms that can be used prognostically or predictively for steering patient treatment and detecting response to treatment. To lead, create, evolve and be More ❯
Job Description Who are we? Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year More ❯
Come and change the world of AI with the Kumo team! Companies spend millions of dollars to store terabytes of data in data lakehouses, but only leverage a fraction of it for predictive tasks. This is because traditional machine learning More ❯
Head of Data Science London – Hybrid Up to £115,000 + Benefits The Opportunity A leading organisation within the Insurance space is seeking a Head of Data Science to lead a team of data scientists and drive high-impact machine More ❯
Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. Calling All More ❯
GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a highimpact role at the intersection of More ❯
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . More ❯
We're on a mission to make sure everyone has access to the law. Lawhive is an online platform for consumers and small businesses to get legal help for a fraction of the cost of a law firm. Our platform More ❯
Machine Learning Engineer Hybrid Working - 3 days p/w in office (Cannon Street, London) Pays £50k-£70k ML Engineer - Python, scikit-learn, PyTorch, MLOps Oliver Bernard have partnered with an AI driven SaaS platform that are seeking a Mid level Machine Learning Engineer to work on the core of … afforded a considerable amount of autonomy. This platform supports publishing giants such as The Times and The Guardian. ML Engineer - Python, scikit-learn, PyTorch, MLOps Key Skills and Experience: ML frameworks Python TensorFlow, scikit-learn, PyTorch MLOps Kubernetes AWS This role is hybrid working from their offices in Cannon Street … 70k + benefits. 4 stage interview process - 15mins intro call, tech test, 1hr team interview, 30mins CEO discussion ML Engineer - Python, scikit-learn, PyTorch, MLOpsMore ❯
Machine Learning Engineer Hybrid Working - 3 days p/w in office (Cannon Street, London) Pays £50k-£70k ML Engineer - Python, scikit-learn, PyTorch, MLOps Oliver Bernard have partnered with an AI driven SaaS platform that are seeking a Mid level Machine Learning Engineer to work on the core of … afforded a considerable amount of autonomy. This platform supports publishing giants such as The Times and The Guardian. ML Engineer - Python, scikit-learn, PyTorch, MLOps Key Skills and Experience: ML frameworks Python TensorFlow, scikit-learn, PyTorch MLOps Kubernetes AWS This role is hybrid working from their offices in Cannon Street … 70k + benefits. 4 stage interview process - 15mins intro call, tech test, 1hr team interview, 30mins CEO discussion ML Engineer - Python, scikit-learn, PyTorch, MLOpsMore ❯
london, south east england, United Kingdom Hybrid / WFH Options
Oliver Bernard
Machine Learning Engineer Hybrid Working - 3 days p/w in office (Cannon Street, London) Pays £50k-£70k ML Engineer - Python, scikit-learn, PyTorch, MLOps Oliver Bernard have partnered with an AI driven SaaS platform that are seeking a Mid level Machine Learning Engineer to work on the core of … afforded a considerable amount of autonomy. This platform supports publishing giants such as The Times and The Guardian. ML Engineer - Python, scikit-learn, PyTorch, MLOps Key Skills and Experience: ML frameworks Python TensorFlow, scikit-learn, PyTorch MLOps Kubernetes AWS This role is hybrid working from their offices in Cannon Street … 70k + benefits. 4 stage interview process - 15mins intro call, tech test, 1hr team interview, 30mins CEO discussion ML Engineer - Python, scikit-learn, PyTorch, MLOpsMore ❯
Job Description SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design … build, and deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move More ❯
Location: London, UK (Hybrid) Salary: £120-130k + bonus plus excellent benefits package About the Company Our client is reshaping DevOps , DevSecOps , and MLOps to empower the world’s leading enterprises to innovate faster and more securely. Trusted by thousands of customers—including the majority of the Fortune … deployment flows Experience building and maintaining relationships with enterprise-level clients and technical champions Nice-to-have: Prior experience in software development Understanding of MLOps tools and use cases Public speaking or event representation experience (e.g., tech conferences) Role & Responsibilities As a Solutions Architect , you will act as a trusted More ❯
Location: London, UK (Hybrid) Salary: £120-130k + bonus plus excellent benefits package About the Company Our client is reshaping DevOps , DevSecOps , and MLOps to empower the world’s leading enterprises to innovate faster and more securely. Trusted by thousands of customers—including the majority of the Fortune … deployment flows Experience building and maintaining relationships with enterprise-level clients and technical champions Nice-to-have: Prior experience in software development Understanding of MLOps tools and use cases Public speaking or event representation experience (e.g., tech conferences) Role & Responsibilities As a Solutions Architect , you will act as a trusted More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Walsh Employment
Location: London, UK (Hybrid) Salary: £120-130k + bonus plus excellent benefits package About the Company Our client is reshaping DevOps , DevSecOps , and MLOps to empower the world’s leading enterprises to innovate faster and more securely. Trusted by thousands of customers—including the majority of the Fortune … deployment flows Experience building and maintaining relationships with enterprise-level clients and technical champions Nice-to-have: Prior experience in software development Understanding of MLOps tools and use cases Public speaking or event representation experience (e.g., tech conferences) Role & Responsibilities As a Solutions Architect , you will act as a trusted More ❯
of AI infrastructure and ML team collaboration. Academic leadership in transformative ML-powered application workflows. Experience deploying ML models to production environments. Experience with MLOps infrastructure for robust deployment and performance. Experience in high-performance integrated systems management for metrics, benchmark performance, and real-time alerts management. Hands-on big … is not available for this position. KEY REQUIREMENTS: Professional in ML operationalization, including workflow/model management, machine learning development environment (MLDE) management Node, MLOps flow. 20+ years of experience in professional software development. Strong programming skills. Great skills in data engineering and big data technologies. Highly skilled with object More ❯
learning practices comply with compliance processes and guidelines. Providing technical guidancein the implementation and integration of machine learning to other cross-functional teams. Using MLOps tools and frameworks. Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce. It would be great if you also had experience … with them Optimising models from data scientists by working closely with them to refine, optimise, and implement models based on prototypes. Defining and improving MLOps processes by creating and refining the model development and deployment strategy for better efficiency and results. Ensuring the quality and accessibility of data used for More ❯
Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. The Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation More ❯
be building tools for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. Responsibilities: Build tools for model training and evaluation. Collaborate with Data Scientists and Engineers to deploy solutions. Drive improvements in MLOps processes. Qualifications: Experience More ❯
