Join to apply for the MachineLearning Operations Engineer role at XPS Group Join to apply for the MachineLearning Operations Engineer role at XPS Group Ref:002981 Please note we do not provide any work sponsorships. XPS Group is a leading UK consulting and administration business specialising in the pensions and … where talented people can flourish and achieve their highest potential . Our Data Analytics business continues to grow and we are now looking for an experienced and technical MachineLearning (ML) Operations Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with … previous experience in a similarrole where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machinelearning models using AzureML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. MachineLearningMore ❯
Haywards Heath, Sussex, United Kingdom Hybrid / WFH Options
First Central Services
Senior MachineLearning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they … models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of MicrosoftAzure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team … integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of MicrosoftAzure, (AzureML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse More ❯
Senior MachineLearning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they … models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of MicrosoftAzure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team … integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of MicrosoftAzure, (AzureML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
First Central Services
Senior MachineLearning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they … models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of MicrosoftAzure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team … integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of MicrosoftAzure, (AzureML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse More ❯
Cheltenham, Gloucestershire, England, United Kingdom
Searchability NS&D
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: MachineLearning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machinelearning, and data science. What Will You Be Doing? Applying advanced data science and machinelearning techniques to solve complex challenges Conducting research … data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machinelearning within Defence, Security, public sector, or academia Strong knowledge of machinelearning architectures and models Methodical approach to problem-solving and analytical More ❯
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 machinelearning, generative AI, and multi-agent systems for the next generation of financial monitoring. We're looking for a MachineLearning Engineer to … 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 machinelearning 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 … improve data pipelines, ensuring data quality and integrity. Requirements : Bachelors or Masters degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.53 years of experience in machinelearning engineering or research. Strong coding skills in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks More ❯
Role: Azure AI DevOps Engineer Salary: £50,000 Location: London or remote Benefits: Healthcare and great holidays The Role As a MachineLearning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machinelearning systems that drive data-driven decision-making in the pensions and financial services … 's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based MachineLearning Development * Collaborate with domain experts and analysts to design and implement machinelearning models that predict key outcomes such as life expectancy … investment return scenarios, and financial risks. * Deploy and manage ML solutions using AzureMachineLearning (AzureML), covering training, testing, and deployment to production. * Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end More ❯
Role: Azure AI DevOps Engineer Salary: £50,000 Location: London or remote Benefits: Healthcare and great holidays The Role As a MachineLearning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machinelearning systems that drive data-driven decision-making in the pensions and financial services … 's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based MachineLearning Development * Collaborate with domain experts and analysts to design and implement machinelearning models that predict key outcomes such as life expectancy … investment return scenarios, and financial risks.* Deploy and manage ML solutions using AzureMachineLearning (AzureML), covering training, testing, and deployment to production.* Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end More ❯
and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in MachineLearning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to … crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machinelearning in Defence/Security, public sector, or academia Proficiency in various machinelearning architectures and models Methodical problem-solving skills Effective communication … of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and MachineLearning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machinelearning, and visualisation. Expertise in popular machinelearning frameworks like TensorFlow and PyTorch More ❯
Role : MachineLearning 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 machinelearning, generative AI, and multi-agent systems for the next generation … of financial monitoring. We're looking for a MachineLearning 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 machinelearning 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Role : MachineLearning 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 machinelearning, generative AI, and multi-agent systems for the next generation … of financial monitoring. We're looking for a MachineLearning 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 machinelearning 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 ❯
We're looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machinelearning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure … quality gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machinelearning models into data pipelines and applications. Develop and deploy AI solutions using AzureMachineLearning services. Have a knowledge … Years of Experience 5+ years working with production data workloads in Azure ESSENTIAL Other Requirements ESSENTIAL Experience with AI development using AzureMachine Learning. ESSENTIAL Strong programming skills in languages such as Python, SQL, or C#. ESSENTIAL Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machineMore ❯
innovation. Job Overview We are seeking a highly skilled and motivated Cloud Services Engineer to join our clients dynamic team. The ideal candidate will have extensive experience with Azure Cloud, Azure AI Foundry, and Power Automate. This role is critical in designing, implementing, and maintaining cloud-based solutions for our clients, as well as … driving innovation within the organization. Key Responsibilities Design, develop, and deploy scalable and secure cloud solutions using Azure Cloud services Implement and optimize AI-driven solutions leveraging Azure AI Foundry Create and maintain automated workflows using Power Automate to streamline business processes Collaborate with cross-functional teams to understand business requirements and translate them … Security Center In-depth knowledge of Azure AI Foundry and its components, including: Azure Cognitive Services AzureMachineLearningAzure Bot Service Azure Databricks Proficiency in Power Automate for creating and managing automated workflows Strong programming skills in languages More ❯
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from La Fosse Data Science, AI & MachineLearning Consultant at La Fosse MachineLearning Engineer London (Hybrid) Up to 65,000 One of La Fosses best clients are currently seeking a talented ML Engineer for their … AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. Im looking for a MachineLearning 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 systemswith real-world impact on financial security and compliance. What Youll Do: Develop and deploy machinelearning 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 More ❯
to our customers and consumers than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a MachineLearning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The … MachineLearning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data … frameworks & superior verbal and written communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with MicrosoftAzure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company More ❯
with creating and/or maintaining architectural documentation including LLD/HLDs. Knowledge of Azure AI services and tools, such as AzureMachineLearning and Azure AI Studio. The ability to lead technical projects and work with other technical teams to deliver to project closure. Strong problem … Networking Azure Identity Azure Virtual Desktop Cloud-native architecture (containers, serverless, and other services) Hybrid Cloud environments Qualifications (AZ-104) MicrosoftAzure Administrator (AZ-305) Microsoft Certified: Azure Solutions Architect Expert (AZ-500) Microsoft Certified: Azure Security Engineer Associate - Desirable (AZ-700) Microsoft Certified … Azure Network Engineer Associate - Desirable (AZ-140) Microsoft Certified: Azure Virtual Desktop Specialty - Desirable What We Do For You Wellbeing focused - Our people are our greatest assets, and ensuring everyone feels their best self to come to work is integral Annual Leave - 26 days of annual leave, plus public holidays and the ability to More ❯
science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and MachineLearning Assistant Manager to support the delivery of innovative analytics and machinelearning solutions in a fast-paced, supportive environment. This is a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machinelearning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯
science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and MachineLearning Assistant Manager to support the delivery of innovative analytics and machinelearning solutions in a fast-paced, supportive environment. This is a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machinelearning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯
Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machinelearning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or … especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for MachineLearning, AzureMachineLearning and Azure AI Foundry as well as experience helping others to use them. More ❯
in a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machinelearning, data pipelines, and MLOps practices. Experience with Azure services such as AzureMachineLearning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval techniques such as vector search, semantic search and Retrieval-Augmented Generation (RAG) using tools like Azure Cognitive Search, FAISS, Pinecone, or Weaviate. Familiarity with data governance, privacy, and ethical AI principles. Experience with DevOps tools and practices, including More ❯
our world-class team today and fulfill your career potential! The Opportunity As an AI Pre-Sales Scientist, you will communicate FICO's AI/Gen AI and machinelearning/analytic methods and innovations to clients, supporting sales efforts for FICO's solutions that manage risk, combat financial crime, build profitable customer relationships, and meet … Enhance engagement with internal and external stakeholders on AI/Gen AI topics. Drive customer understanding of FICO's AI/Gen AI products, aligning customer needs with machinelearning and analytic methods. Provide feedback for product development based on customer interactions. Participate in research to identify emerging AI/Gen AI trends and technologies to … We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machinelearning algorithms (e.g., neural networks, logistic regression More ❯
and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machinelearning models to meet performance requirements. Conduct quality assurance on models, ensuring robustness, explainability, and compliance with standards. Collaborate effectively with both upstream and downstream engineering sprint … Support the broader adoption of AI across the organization and contributes to the AI Guild community. Propose AI-first strategies and contribute ideas to address business challenges through machine learning. Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machinelearning … required and an MSc considered advantageous. Experienced in using machinelearning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity with MLFlow and AzureML seen as a positive. Have working knowledge of CI/CD practices, ML Ops, ML pipelines, automated testing, and platforms such as AzureML, Google Cloud, or AWS. Possess hands-on More ❯
Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machinelearning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for … to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machinelearning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely … Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please More ❯
the data director, you will join to manage a small (but growing) team, remaining hands-on you will help bring a more sophisticated approach to data science and machinelearning across the business. Key projects the team are working on currently: Dynamic pricing algorithms for the website Recommender systems NLP and classification Customer and marketing behaviour … months will be to make their current product pricing algorithms better! YOUR SKILLS AND EXPERIENCE You must have: An MSc or Ph.D. in a STEM topic with a machinelearning focus Experience of working with large volumes of data (preferably online data) Expert knowledge of Python Working knowledge of GCP (other cloud tools fine) Knowledge of … pricing is required for this role Excellent stakeholder management skills Experience in leading teams of data scientists who are responsible for deploying machinelearning into production. THE BENEFITS £110,000 - £120,000 + Benefits HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. For details on similar More ❯
teams, and data scientists, to ensure that final solutions meet requirements. The Lead AI Solutions Engineer is an expert in large language models, Gen AI application implementation and machinelearning, and has a passion for creating intelligent systems that automate processes, improve efficiency, and drive business innovation. In this role you will be responsible for: Design … need to have: Proven experience delivering AI/ML solutions in production , with a strong focus on large language models (LLMs) and generative AI. Hands-on expertise with Azure Databricks , including data engineering, model development, and orchestration of ML workflows. Practical experience using LLMs and RAG , including prompt design, vector databases, model deployment, and integration into applications. … including code standards, model lifecycle management, CI/CD, and monitoring in cloud environments. Familiarity with the Azure ecosystem , such as AzureMachineLearning, Azure DevOps, and related cloud-native tools. Excellent communication and collaboration skills , with the ability to work effectively across data science, engineering, and More ❯