Role MachineLearning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented MachineLearning Engineer eager to make an immediate impact … on exciting projects? Our client is seeking an experienced professional for a hybrid position to be based in Central London As a MachineLearning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machinelearning models and algorithms that drive business outcomes and innovation. Collaborate … in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in Python and/or R for developing machinelearning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms More ❯
MachineLearning Engineer Salary: £55,00 - £60,000 Location: London - Hybrid - 2 days We are currently looking for a MachineLearning Engineer to join our client's data team. This is a hands-on role where you'll design and build robust data pipelines, transform ML prototypes into production-ready systems, and … champion MLOps best practices across the business. As a MachineLearning Engineer, you'll play a crucial role in ensuring our clients' data and AI strategy scales effectively, directly influencing the way millions of people engage with their products every day. The Opportunity This is a unique chance to combine data engineering with machinelearning in a high-impact environment. You'll work closely with analysts, data engineers and stakeholders, ensuring models are reliable, scalable, and production-ready. Unlike many roles in the tech sector, this MachineLearning Engineer role gives you the visibility of seeing your work applied at scale, powering decision-making and user More ❯
Erskine, Renfrewshire, Scotland, United Kingdom Hybrid / WFH Options
DXC Technology
Location: Newcastle, England or Erskine, Scotland Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Are you passionate about deploying and scaling machinelearning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams … engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machinelearning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom Hybrid / WFH Options
DXC Technology
Location: Newcastle, England or Erskine, Scotland Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Are you passionate about deploying and scaling machinelearning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams … and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machinelearning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯
Erskine, Renfrewshire, Scotland, United Kingdom Hybrid / WFH Options
DXC Technology
UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled MachineLearning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying scalable ML solutions across … This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machinelearning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom Hybrid / WFH Options
DXC Technology
UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled MachineLearning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying scalable ML solutions across … This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machinelearning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯
Based | Cannot sponsor Specialising in AzureML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machinelearning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data analytics projects in … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities AzureML Operations : Design, deploy, and manage ML models in production using AzureML . Data Integration : Build and maintain data pipelines using SQL and Azure … . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What You'll Bring Essential Experience: Strong hands-on experience with AzureML or Azure-based production environments. Proficiency More ❯
Reading, Berkshire, England, United Kingdom Hybrid / WFH Options
Reed
Based | Cannot sponsor Specialising in AzureML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machinelearning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data analytics projects in … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities AzureML Operations : Design, deploy, and manage ML models in production using AzureML . Data Integration : Build and maintain data pipelines using SQL and Azure … . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What You’ll Bring Essential Experience: Strong hands-on experience with AzureML or Azure-based production environments. Proficiency More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
gaming and film create and interact with 3D content. They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machinelearning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform … and practices in a fast-moving startup environment. The role will involve: Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents … 6+ years' experience in cloud engineering, ideally with ML-related workloads Proficiency in scripting (Bash, PowerShell, Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
depth with team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machinelearning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and … MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both … personal trips. Hybrid working & flexibility around client commitments. Recognition & reward schemes – performance-based, not box-ticking. Regular socials, team-building days, and volunteering opportunities. Professional development support – structured learning, mentoring, and cross-discipline growth. A supportive, people-first culture that prioritises wellbeing and work–life balance. 💡 Salary: £75,000–£80,000 (DOE) 💡 Location: London (hybrid, 2–3 days More ❯
depth with team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machinelearning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and … MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both … personal trips. Hybrid working & flexibility around client commitments. Recognition & reward schemes – performance-based, not box-ticking. Regular socials, team-building days, and volunteering opportunities. Professional development support – structured learning, mentoring, and cross-discipline growth. A supportive, people-first culture that prioritises wellbeing and work–life balance. 💡 Salary: £75,000–£80,000 (DOE) 💡 Location: London (hybrid, 2–3 days More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
depth with team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machinelearning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and … MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both … personal trips. Hybrid working & flexibility around client commitments. Recognition & reward schemes – performance-based, not box-ticking. Regular socials, team-building days, and volunteering opportunities. Professional development support – structured learning, mentoring, and cross-discipline growth. A supportive, people-first culture that prioritises wellbeing and work–life balance. 💡 Salary: £75,000–£80,000 (DOE) 💡 Location: London (hybrid, 2–3 days More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Intellect Group
depth with team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machinelearning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and … MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both … personal trips. Hybrid working & flexibility around client commitments. Recognition & reward schemes – performance-based, not box-ticking. Regular socials, team-building days, and volunteering opportunities. Professional development support – structured learning, mentoring, and cross-discipline growth. A supportive, people-first culture that prioritises wellbeing and work–life balance. 💡 Salary: £75,000–£80,000 (DOE) 💡 Location: London (hybrid, 2–3 days More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Intellect Group
depth with team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machinelearning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and … MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both … personal trips. Hybrid working & flexibility around client commitments. Recognition & reward schemes – performance-based, not box-ticking. Regular socials, team-building days, and volunteering opportunities. Professional development support – structured learning, mentoring, and cross-discipline growth. A supportive, people-first culture that prioritises wellbeing and work–life balance. 💡 Salary: £75,000–£80,000 (DOE) 💡 Location: London (hybrid, 2–3 days More ❯
london, south east england, united kingdom Hybrid / WFH Options
GIOS Technology
and Proof of Value evaluations. Support hands-on delivery and operationalization of secure AI solutions across cloud and on-prem environments. Key Skills: AI, GenerativeAI, SecurityArchitecture, CloudSecurity, AWS, Azure, GCP, Infrastructure, MachineLearning, RiskManagement, RegulatoryCompliance, CyberSecurity, DataSecurity, ITInfrastructure, EmergingTechnology, AIControls, RAI More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
Data Solution Architect - Azure, ADF, Snowflake, Insurance £Market rate (Inside IR35) London/Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Solution Architect with expertise in Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure … Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, AzureML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯
Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Architect with expertise in Data Vault, Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, AzureML and Power BI), Snowflake and Enterprise scale Data Sources to join a business-critical … Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, AzureML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯
Employment Type: Contract, Work From Home
Rate: £600.0 - £800.0 per day + £market rate (Inside IR35)
London, South East, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Architect with expertise in Data Vault, Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, AzureML and Power BI), Snowflake and Enterprise scale Data Sources to join a business-critical … Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, AzureML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
data with some experience with engineering, data science and predictive analytics. 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, AzureML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
data with some experience with engineering, data science and predictive analytics. 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, AzureML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing More ❯