17 of 17 Permanent Azure Machine Learning Jobs in Central London

enhance our ML and AI capabilities. This role will be a senior hire responsible for the software development and technical infrastructure needed to design, train, deploy and scale machine learning models in production environments. You will harness a diverse array of data sources, from streaming services to social media, revolutionizing the way artists promote their music. … 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 and integrate efficient data pipelines by collecting high … and engineers to translate business goals into actionable solutions, and communicating results clearly to both technical and non-technical stakeholders. Essential Experience 🎓 3+ years of experience in applying machine learning in a commercial setting, with a track record of delivering impactful results. Extensive programming skills in Python, with a specialization in distributed computing libraries such as More ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This … would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power … and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. The Role As a Machine Learning Engineer you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to … clients within large organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯

time, Permanent Eligible for SC Clearance/Actively SC Cleared Be part of a growing consulting team with a leading Microsoft Partner. This role is for a Senior Azure Data & AI Consultant, who will deliver high-impact solutions that transform how clients operate using Artificial Intelligence. You’ll play a critical role in guiding organisations through the … platforms Work closely with clients to understand business challenges and identify where AI and data-driven solutions can drive value Architect and implement scalable, production-ready solutions using machine learning , large language models , cognitive services , and modern data pipelines Collaborate with multidisciplinary teams across strategy, engineering, and design to build end-to-end AI solutions Guide … Work on high-profile projects that make a real impact across industries Collaborate with some of the best minds in the AI and data space Access to continuous learning, Microsoft certifications, and cutting-edge tools Competitive salary, bonus scheme, and flexible working options A people-first culture that values innovation, growth, and balance More ❯

of managing and growing high-performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . More ❯

+ 20% Bonus + £6,000 Car Allowance + 6% Pension +more Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of … their data products. This is a high-profile opportunity to head up a dedicated Valuations & Pricing team, delivering 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 and valuation products. Develop and deploy machine learning models that drive pricing accuracy and business performance. Own the pricing analytics roadmap, aligning with senior stakeholders to prioritise and deliver key initiatives. Work cross-functionally More ❯

4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing More ❯

DNS Security - Encryption, SSL, TLS, HTTPS, OAuth2, OIDC, SAML, JWT Languages - Python/Node.js/Golang Development – REST API/Microservices Desirable Skills: Multi-Cloud Knowledge/Experience - Azure/AWS. AI/ML – Vertex AI. Engagement with major blue-chip clients/financial organisations Certification GCP Professional Certification – Associate Engineer, Data, DevOps, Developer. More ❯

Job Title: Machine Learning Engineer – Finance Location: London (2 days on-site) Salary: £60,000 - £80,000 + benefits About Us Our client is a fast-growing FinTech startup redefining how mid-sized enterprises manage liquidity, credit, and cross-border finance. Since 2020, they’ve grown to a 60-person team across the UK, closed our … and Accel. At the core of our platform is intelligent decision-making at scale ... and that’s where you come in. We’re now looking for a Machine Learning Engineer who’s ready to take ownership of production-level models that directly impact risk, underwriting, and transaction workflows. What You’ll Do: Design, build, and … real-world ML problems that power decisions across millions in daily transactions Competitive salary and meaningful equity 25 days holiday + bank holidays Private healthcare & life insurance Generous learning budget + conference support An open, inclusive culture where experimentation is encouraged and your voice will be heard More ❯

heavy focus on the front end. The work will be split 50/50 between Angular and .Net. Experience/Skills: Angular - version 14+ .Net V8/C# Azure DevOps Azure experience (Functions, DevOps, databricks, data factory) Industry experience within financial services Desirable experience with AI/ML, such as Search Index, Azure Machine Learning If this role is of interest to you or you would like to learn more, please apply now 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 machine learning, generative AI, and multi-agent systems for the next generation … of financial monitoring. We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a … New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive More ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. I’m looking for … a Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and … deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using Python and modern tooling More ❯

experience in a range of technologies and architectural best practice concepts, specifically Data Engineering Design Snowflake expert with hands-on experience of data modelling and best practises MS Azure Data Stack - Data Factory, Data Lake Storage, Azure SQL, Azure ML, Power BI Automation of CICD pipelines across different technologies including Power … BI, Snowflake and the Azure Data Stack Data Science, Analytics & Reporting Design Understanding of implementations for Operational (near real time data management and analytics) and MI (‘aged’ data) data modelling and reporting Exposure and passion for new and emerging data technologies and trends Exposure to concepts of Data Governance (e.g. Data Quality, Data Management, Data Lineage, Data More ❯

Machine Learning & AI Engineering Lead | London (Hybrid) Join Mars on a mission to use data and AI to shape a better world—for people and pets alike. We’re looking for a “ Machine Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play … that unlock innovation across our global business. 🌍 Why this role matters: At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine learning, and AI to fulfil our commitment to constantly optimize our processes and innovate our products, ensuring better nutrition for pets. By connecting Petcare data ecosystems, building … bonus if 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 More ❯

ll work with the typical LLM stack, including frameworks and tools for fine-tuning, deploying, and integrating large language models, and leverage cloud platforms such as AWS and Azure to design, develop and deploy production-grade solutions. What we need from you: You have at least 1 work year of work experience You are available to start … paced but supported environment. Bonus Points: Experience in the life sciences sector, specifically within clinical trial design or related function. Experience with AWS Bedrock, AWS OpenSearch and or Azure ML Studio, Azure AI Foundry. Experience with Serverless Architectures in Azure/AWS/GCP. Experience with open-source LLMs or Small More ❯

and thought leadership. Gain exposure to innovative technology Work with customers and identify opportunities to support their strategy and improve their processes across functions Gain access to endless learning opportunities The Role As an Enterprise Data Architect you will be working closely with the Chief Data Officer (CDO) and drive the architectural vision for the Data platform. This … role requires a deep understanding of modern data architectures, cloud technologies, and AI/ML frameworks with hands-on expertise in Snowflake, dbt, and Azure AI/ML services. Key responsibilities: Architect & Design: Define and evolve the Data platform architecture, ensuring scalability, security, and cost-effectiveness Data Strategy & Governance: Collaborate with … the CDO to shape data strategy, governance, and compliance frameworks Cloud & AI/ML Initiatives: Lead Azure AI/ML adoption, integrating advanced analytics and machine learning capabilities Modern Data Stack: Oversee the implementation of Snowflake, dbt, and other data processing frameworks for optimal performance Stakeholder Collaboration: Engage with senior leadership, data engineering More ❯

with a fantastic software company that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical roadmap and manage solutions architecture … in scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect and manage robust solutions More ❯