1 to 25 of 31 Remote MLOps Jobs in Central London

ML deployment, you will have the responsibility of managing projects with autonomy across the full data lifecycle. Responsibilities📝 As an ML Engineer at Un:hurd music, you'll be: MLOps and Model Deployment : Own the deployment, maintenance, and retraining of machine learning models in production environments, designing scalable system architectures to ensure performance and resilience. Data Collection and Integration : Develop More ❯

We are partnering with a prestigious investment bank to find a highly skilled and Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up … a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to enable to right candidate to implement the MLOps processes. This team are … areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the bank, so we are looking for only the highest calibre candidates with experience More ❯

Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus performance-based incentives 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career More ❯

PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary + bonus. Comprehensive benefits package including health insurance, pension plan. Hybrid working arrangement (minimum More ❯

to complex business problems, with the goal of improving supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll be supported by a modern MLOps and Data Engineering function, giving you the time and tools to focus on innovation , model development , and strategic delivery . Key Responsibilities Lead and mentor a data science team focused … mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams to productionise models using robust and scalable pipelines. Champion the integration of model outputs into wider data and reporting platforms. Clearly communicate technical insights and model outcomes … functional squads. What You’ll Get in Return A leadership role where your work has direct and measurable impact on operational efficiency and bottom-line performance. Dedicated support from MLOps and Engineering teams to accelerate delivery. Access to career development support including coaching, mentoring, and leadership training . A competitive salary package including car allowance , bonus , and comprehensive benefits such More ❯

leveraging cloud-native tools and services. AI Feature Integration Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software. Technical Leadership Set standards for MLOps, automation, and performance tuning across the engineering team. Generative AI & LLMs Explore and integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code More ❯

and pre-sales activities Maintain high billable utilisation while delivering exceptional client value Contribute to Made Tech's thought leadership in AI/ML Guide clients in building robust MLOps practices and data-driven cultures Hiring and line-managing data scientists and analysts Security Clearance An increasing number of our customers are specifying a minimum of SC (security check) clearance More ❯

Role : Machine Learning Engineer Location : London, UK (Hybrid) Salary : £50k–£65k (DOE) Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates More ❯

cutting-edge machine learning solutions that influence decision-making across a large, fast-moving business. You'll have access to vast datasets, modern tooling, and the support of experienced MLOps and Data Engineering teams – freeing you to focus on model innovation , business impact , and team leadership . Key Responsibilities Lead and coach a team of data scientists focused on pricing … senior stakeholders to prioritise and deliver key initiatives. Work cross-functionally with Marketing and Operations data teams to extend the reach of data science across the organisation. Collaborate with MLOps and Engineering teams to ensure seamless product delivery and integration. Promote the use and value of pricing models to non-technical stakeholders through clear and effective communication. Continuously improve the … flexible hybrid work model (Reading or London) and a collaborative environment. A role where your models directly shape pricing, influence profitability, and deliver real commercial outcomes. Support from seasoned MLOps and engineering teams – letting you focus on research, modelling, and innovation . If you’re passionate about pricing science and ready to step into a leadership role where your work More ❯

Ready to lead the next generation of AI-powered solutions? We’re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine More ❯

Lead cutting-edge research - run rapid experiments, RLHF loops, fine-tuning, and retrieval-augmented generation to push the boundaries of clinical dialogue systems. Architect safe, scalable solutions - design reference & MLOps architectures on cloud with robust guard rails in place. Establish governance & guardrails - craft policies, model cards, and internal frameworks that ensure compliance with NHS, MDR, ISO 13485, GDPR, and emerging … fintech, etc.). Strong leadership & mentorship skills; comfortable scaling teams from scratch while fostering an inclusive, high-trust culture. Hands-on experience with cloud architectures, CI/CD, and MLOps best practices. Passion for improving patient outcomes through ethical, human-centric technology. This is an excellent opportunity for a Director of AI & Research to leave a lasting mark on digital More ❯

Applied Data Scientist (NLP) 9 Months Initial - Outside IR35 - Fully Remote - £350-400pd DOE. We are partnering with a global tech business who are looking for a talented Data Scientist with strong experience in GenAI/NLP to join More ❯

healthcare, life assurance & more ✔ A mission-driven, inclusive culture where innovation thrives You’ll bring: 🔹 Strong experience with Azure ML in production 🔹 Proficiency in Python, SQL, CI/CD, MLOps 🔹 Great communication skills to bridge technical and non-technical teams If you’re ready to build, innovate, and make a difference—let’s talk. More ❯

enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working (2 days per week in office). More ❯

Data/MLOps Engineer Hybrid Working - 2 days p/w in office (Liverpool Street, London) Pays £75k-£85k Data/MLOps Engineer - Python, SQL, AWS, Azure Oliver Bernard have partnered with a retail bank undergoing a data transformation. You'll be joining their core Data team and be responsible for deploying tooling through cloud platforms, utilising new LLM models … and building out new pipelines. Data/MLOps Engineer - Python, SQL, AWS, Azure Key Skills and Experience: Python SQL Tableau, PowerBI Terraform AWS, Azure This role is hybrid working from their offices in Liverpool Street, EC2M 7PY (2 days p/w). VISA sponsorship is not available for this role. Budget is £75k-£85k + benefits including bonus. … stage interview process - 1st stage call with manager, final stage with team. Data/MLOps Engineer - Python, SQL, AWS, Azure More ❯

. API Development: Experience building data-centric APIs, especially with FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world More ❯

. API Development: Experience building data-centric APIs, especially with FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world More ❯

This role is central to making that happen. 🎯 What you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate with cross-functional squads to deliver … it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning 🎁 What you’ll get: Hybrid working + competitive salary More ❯

findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC More ❯

Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery. Experience with vector databases, agent frameworks, or data workflows is highly relevant. 🔹 Deployment & MLOps: Own model deployment pipelines, including API-based serving, monitoring, and cloud infrastructure (AWS preferred, but others welcome). Bonus points for edge/offline deployment experience. 🔹 Product & Strategy: Work directly More ❯

identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally Golang) and related ML/AI libraries (e.g. Tensorflow & PyTorch, etc.) Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem space, including scenarios where RAG More ❯

e.g., WebGL). Deep knowledge of modern UI frameworks (e.g., React, Tailwind). Familiarity with molecular or protein visualisation tools (e.g., Mol*). An interest in model serving or MLOps workflows. Responsibilities Develop and maintain both front-end and back-end components of our platform. Design intuitive, visually compelling web interfaces for molecular data. Optimize performance throughout the stack—from More ❯

CD platforms for building reliable deployment pipelines (e.g. GitLab CI, ArgoCD) Worked with Kubernetes and infrastructure as code tools such as Terraform for scalable system deployment Are familiar with MLOps practices and tools, and monitoring machine learning systems in production This role will report to the VP of Engineering and can be based anywhere within a 3-hour time zone More ❯

Python/Go AI Engineer - Python, Go, AI/ML, Terraform & AWS Key skills & experience: High level knowledge of of Python/Go Hands on experience building AI Pipelines MLOps experience Cloud engineering skills with Docker, Kubernetes, Terraform & AWS This role is hybrid with 2-3 days a week required in a London based office Base salary of up to More ❯

perimeter security, and OWASP security guidelines. Strong networking experience across DNS, routing, load balancers, and firewalls. Skilled with enterprise‐level deployments across microservices and multi‐server environments. Experience with MLOps platforms (ideally Azure), database maintenance, and performance optimization. Familiarity with ITIL or ISO27001. Ability to review CVs and participate in the recruitment process. Azure certification to Architecture or DevOps Solutions More ❯