26 to 50 of 87 MLOps Jobs in Central London

investigate failure cases or drift, and recommend iterative improvements Track and report key performance and operational metrics Contribute to best practices in version control, testing, CI/CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document 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 ❯

🚀 Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world More ❯

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-old market. More ❯

Location: Liverpool Street, London (EC2M 7PY) (2 days p/w in office) Salary: £85k-£95k + bonus Industry: Finance Tech Stack: Python, SQL, Tableau, AWS, Azure 👩🏻‍💻 Great opportunity for a talented Engineer (Python, SQL, Tableau, AWS, Azure) to join More ❯

and data science solutions for a diverse client base. Role Responsibilities Design and implement ML and Generative AI models to address client challenges Work closely with data engineers and MLOps professionals to deliver production-ready systems Apply techniques such as large language models (LLMs), retrieval-augmented generation (RAG), vector databases, prompt engineering, and model fine-tuning Engage with client stakeholders … Generative AI projects from concept to deployment Hands-on experience with frameworks such as Hugging Face, LangChain, and open-source LLMs Familiarity with tools such as Databricks and modern MLOps workflows Strong Python skills and familiarity with common data science tools and libraries Experience with cloud platforms (preferably Azure, but AWS or GCP also valuable) Confident communicating complex technical ideas 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 ❯

client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence More ❯

assets. 🔧 Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps 🧠 What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs into scalable data solutions • Solve data quality issues and improve infrastructure • Collaborate with cross-functional teams More ❯

vision with near-term execution. Exceptional communication and collaboration skills, with the ability to influence technical and non-technical stakeholders alike. Bonus Qualifications Experience with machine learning infrastructure and MLOps practices. Familiarity with event-driven architectures, particularly in mobile-first environments. Background in fashion, marketplaces, or sustainability-focused technology sectors. More ❯

of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalise the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining 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 ❯

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 ❯

MLOps Engineer B2B SaaS AI Start-Up Pays £55k-£70k 1-day a week in Central London offices MLOps Engineer - AI - Python, LLMOps, Data Pipelines, AI Workflows I've got a brand new role with a client of mine who are a B2B SaaS AI Start-Up, who are looking to grow their Engineering team once again, having secured several … workflows, working with the latest LLM API's as well as being the driving force behind their Analytics stack, helping deliver data-driven insights for internal and external stakeholders. MLOps Engineer - AI - Python, LLMOps, Data Pipelines, AI Workflows Required skills and experience 2+ years of commercial experience Strong knowledge and understanding of Python Prior experience of LLMOps Some experience building … my clients Central London office 1-day per week, and pays between £55k-£70k + equity, depending on skills and experience To be considered, you must be UK based MLOps Engineer - AI - Python, LLMOps, Data Pipelines, AI Workflows More ❯

third-party vendors, platforms, and internal tech teams. Enable Cross-Functional Success: Work closely with IT, Big Data, Security, Digital, and Business Units. Innovate with AI: Leverage LLMs, RAG, MLOps, and cloud-native tools to build scalable, secure solutions. Ensure Governance: Align with enterprise standards, responsible AI practices, and compliance frameworks. Deliver Measurable Impact: Define success metrics and ensure business … value is realized at every stage. Key Skills and Experience: Proven experience architecting AI/ML or GenAI solutions in complex, enterprise environments. Hands-on expertise with LLMs, NLP, MLOps, RAG pipelines, APIs, and real-time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus 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 ❯

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 ❯

assets. 🔧 Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps 🧠 What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs into scalable data solutions • Solve data quality issues and improve infrastructure • Collaborate with cross-functional teams More ❯

assets. 🔧 Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps 🧠 What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs into scalable data solutions • Solve data quality issues and improve infrastructure • Collaborate with cross-functional teams 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 ❯

frameworks. An understanding of core concepts in ML, data science and MLOps. Nice-to-Have : Built agentic workflows/LLM tool-use. Experience with MLFlow, WandB, LangFuse, or other MLOps tools. Experience with AirFlow, Spark, Kafka or similar. Why Plexe? Hard problems: we're automating the entire ML/AI lifecycle from data engineering to insights. High ownership: first 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 ❯

direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as MongoDB or other NoSQL databases. Practical knowledge of MLOps principles, including CI/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI. Knowledge of GPU-accelerated More ❯

the high availability, performance, and security of our production systems that support everything from data processing to model deployment. Collaborating closely with AI and backend engineers to streamline the MLOps lifecycle and build a world-class platform for computer vision. Monitoring system health and costs, proactively identifying bottlenecks and implementing optimizations. Your expertise will be critical to the stability and 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 ❯