Birmingham, England, United Kingdom Hybrid / WFH Options
BJSS
approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machinelearning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »
City Of Bristol, England, United Kingdom Hybrid / WFH Options
BJSS
approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machinelearning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »
Manchester, England, United Kingdom Hybrid / WFH Options
ARM
Job Overview: We make debug tools that help Arm's partners build outstanding software on their embedded devices which power mobile, games, Android, Linux, MachineLearning, and enterprise applications. Engineers are afforded the opportunity to move between teams as needed to deliver products, so it helps to be … ensure the final product is at the high quality our partners expect. You will also work in conjunction with the existing Quality Engineering team, learning from and guiding your peers. Required Skills and Experience : Previous work in defining and implementing automated GUI based tests on a Windows, Mac or more »
Manchester Area, United Kingdom Hybrid / WFH Options
Fortice
and deliver bespoke and novel solutions to the problems faced by organisations in the National Security sector. You have led teams of Data Scientists, MachineLearning Engineers, and DevOps engineers. You also have experience gathering requirements from and delivering demos to clients in the secure sector. If you … work, you will also have time set aside for R&D projects, to ensure you keep on top of the fast-moving AI/ML landscape. Your technical experience will include the following: Experience writing and deploying production-grade Python. Leadership, management and mentoring of other engineers. Cloud computing, with more »
Greater London, England, United Kingdom Hybrid / WFH Options
TEC Partners - Technical Recruitment Specialists
If you have experience in any of these areas, we encourage you to apply: Fullstack, Back End, Python, AWS, React, JavaScript, Golang, Generative AI, MachineLearning, startups, supply chain, logistics, delivery networks. more »
and willingness to learn and develop your skill set. Great customer and stakeholder management. Keen on latest trends in technology such as AI and Machine Learning. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life more »
code that adheres to best-in-class engineering practices. Curiosity, ambition, kindness, and firm opinions loosely held. Nice to have 🦄 Experience with AI/ML models and integrating them into scalable production systems or creative projects. You have implemented full-text or semantic search interfaces and systems. Bonus points if more »
rewarding career. We work with a broad range of clients including the majority of the Tier One Investment Banks, SME tech companies in the machinelearning/AI spaces, ESG investors and traditional asset managers so successful candidates will acquire a very broad knowledge base across all aspects more »
Head of MachineLearning £90,000-£130,000 Central London - Hybrid Working Im currently working with a well-established London FinTech wealth-management SAAS business, who are looking for a Head of MachineLearning to join their growing team on a hybrid basis! This award-winning … Main office in London but have a further 6 worldwide. Work with some of the largest FinTech companies globally. Looking to utilise AI/ML to simplify their processes and products. Award winning business and part of a wider wealth-management group. The Role Head of MachineLearning … a week in the office. Lead a small team of Data Scientists. Mostly technical but small amount of people management. Lead the integration of ML/AI across the companys core SaaS products. Work with clients & multiple teams to ensure AI solutions are implemented smoothly. Brand new role which offers more »
third-party services If you are interested in this Python Developer vacancy and you would like to hear more about it or other AI, ML, Data or Python Software Developer vacancies, please contact Stuart at TEC Partners today. more »
proportion of our sales. Our Engineering practice includes 60+ teams, working on everything from Cloud Platforms to Mobile Apps, from E-Commerce functionality to Machine Learning. Our Engineers work collaboratively and share knowledge, and learning is extremely important to us. We support our Engineers to continuously improve their more »
Milton Keynes, Buckinghamshire, United Kingdom Hybrid / WFH Options
Coltech Recruitment
same. Strong understanding of data governance, Data quality and how they have implemented these processes. Good to have experience on Snowflake data warehouse and Machine learning. Apply now for immediate consideration more »
Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
Title: Head of ML Type: Permanent Salary: Up to £120k base salary + benefits package Location: London (Hybrid) We're working with a rapidly growing SaaS company leveraging cutting-edge ML and AI. Join us and lead an innovative team building game-changing products! You will: Build and Lead a … High-Performing Data Science Team: Recruit, develop, and mentor a team of machinelearning engineers to deliver cutting-edge ML solutions. Foster a culture of innovation, collaboration, and continuous learning. Drive Data-Driven Innovation: Define the data science strategy, identify opportunities for AI/ML to drive business … growth, and translate complex technical concepts into actionable business insights. Develop and Scale ML Capabilities: Oversee the development and deployment of robust ML pipelines, including fraud detection and risk assessment models. Establish MLOps Excellence: Architect and implement efficient MLOps pipelines to streamline model development, deployment, and monitoring, ensuring model performance more »
Bristol, England, United Kingdom Hybrid / WFH Options
Identify Solutions
days per week in the office) Contract Type: Outside IR35, 3 months initially About the Role: We are looking for a highly skilled ML Engineer to join our R&D team, working on cutting-edge projects involving Natural Language Processing (NLP), Large Language Models (LLM), Computer Vision, Voice Synthesis, and … more. This role is ideally suited for a candidate who is SC Cleared or eligible for SC clearance. As an ML Engineer, you will engage in exploratory work, focusing on building out prototypes and developing solutions to novel challenges. You'll be at the forefront of innovation, often working with … ambiguous data quality and client preferences to identify and implement the best model solutions. Key Responsibilities: Work on challenging ML problems for customers, including R&D activities and the implementation of early-stage research, even on customer hardware. Perform extensive experimentation throughout the project lifecycle, from data collection to defining more »
be the perfect fit for you. Our client is a dynamic, ethically-driven startup that specialises in Data Science-as-a-Service. They leverage machinelearning to help not-for-profits run more successful fundraising campaigns. Their focus on machinelearning is core to their business … automate QA tasks. Analyze data and generate reports to support business objectives and client success. Assist clients during the onboarding process, including QA of machinelearning models, predictions, and tools. Conduct ad-hoc analysis and investigations into data, systems, and models to resolve customer queries. Maintain and improve more »
East Sussex, England, United Kingdom Hybrid / WFH Options
DataCareers
in either Python or R, but you will need to have an appreciation of both. Azure highly desirable including AzureAI studio, Azure Open studio, ML studio etc. Strong communications and collaboration skills ** Visa sponsorship is NOT available for this role more »
London, England, United Kingdom Hybrid / WFH Options
Barclays
of transaction monitoring systems, such as automated software tools (e.g., Actimize, Fircosoft). Drive the adoption of new technologies like artificial intelligence (AI) and machinelearning to improve the accuracy and efficiency of monitoring processes. Analyze trends and patterns in transactional data to detect emerging risks and suspicious more »
Do you have experience setting up and optimizing training pipelines? Do you have experience in end2end development of AI models (Computer Vision, LLMs, Reinforcement Learning)? Are you excited by the thoughts of competing with Microsoft, Jeff Bezos and OpenAI? The challenge We’re a very young start up, founded … by the end of the year We’ve developing AI robots to do day-to-day human tasks and looking for an experienced MachineLearning Ops Engineer to develop our MLOPs platform, improve model performance … and optimise models for deployment on edge devices. About you You’ll have experience designing data pipelines, GPU optimization and Inference scaling, setting up ML infrastructure and deploying AI models. Here are some of things we’d expect you to have: Experience with DevOps tools (Chef, Jenkins, Maven, Cradle, Puppet more »
approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … product design as it rapidly evolves? How does a data platform support operational objectives and provide analytical insight to business users, whilst also supporting ML and Generative AI supported workloads at scale? How can we quickly deliver the robust legacy system interfaces needed by our Agile development teams? Which organisational … being hands-on when you need to be You balance innovation and intellectual rigour with realism You love technology and want to keep on learning, with a genuine interest in understanding the challenges your users face and how you can help them Some of the Perks Flexible benefits allowance more »
Daily rate: £490 inside IR35 Duration: 12 months + possible extension Location : Hybrid; 2day/w in London office Knowledge: Proven experience as a machinelearning engineer, data scientist, or a similar role. A comprehensive grasp of machinelearning methodologies and principles, encompassing supervised and unsupervised … learning, deep learning, and reinforcement learning. Experience deploying computer vision models is particularly desirable. Experience with data manipulation, pre-processing, and feature engineering techniques. Experience building MachineLearning solutions for scalable, reliable deployments Experience developing testing regimes for machinelearning systems, including unit, integration … Data modelling, and software architecture Experience designing and implementing cloud solutions and ability to build MLOps Pipelines on Azure Cloud. Skills: Experience as a ML Ops Engineer is essential Experience of developing and implementing ways of working. Experience in Developing and enforcing best practices for machinelearning life more »
an experienced and motivated DevOps Engineer to join our growing team, helping to maintain and enhance our infrastructure in support of data-driven and machinelearning solutions within the retail automation industry. As a key player in our DevOps/MLOps efforts, you will optimize and manage cloud … with experience using CI/CD tools (e.g., GitHub Actions) to automate software pipelines. Familiarity with machinelearning concepts and experience managing ML models in production environments (e.g., BentoML, Valohai) is a plus. Excellent problem-solving skills, attention to detail, and strong communication abilities. Right to work in … scheme. This is a unique opportunity for a DevOps Engineer passionate about infrastructure and innovation, contributing to the growth of cutting-edge AI/ML technology in a rapidly expanding field. more »
to be the first MLOps Engineer in a 14-person data team, working closely with the Data Science Manager to shape the future of ML operations. Location: Hybrid Working in London (x3 a week in the office) Salary: £65K - £95K per annum depending on level of experience, plus 20% discretionary … deployment. Create efficient, scalable processes to train, deploy, and monitor models in a production environment. Key Responsibilities: Architect efficient processes to operationalize and maintain ML models. Design, implement, and optimize scalable ML pipelines, covering everything from model training to deployment and monitoring. Build robust data infrastructure to support simulations and … production usage. Set up systems to monitor model performance in production environments. Automate the ML lifecycle, focusing on scalability and efficiency. Collaborate with data scientists and team members to integrate the latest advancements in machinelearning into production. Required Skills: Proven experience in building and maintaining operational MLmore »
teams, including data scientists, engineers, and stakeholders, to ensure AI strategies align with business goals. Stay up to date with emerging trends in AI, machinelearning, and open-source tools to drive continuous improvement and innovation. Act as a key advisor in defining and maintaining AI best practices … and frameworks. Contribute to the strategic direction of AI and machinelearning initiatives. Essential Skills and Experience: Strong proficiency in Python and a track record of building AI solutions. Hands-on experience with Azure cloud services, particularly in deploying machinelearning models. Expertise with LLMs (Large more »
passion for data and insights Track record of successful leadership and people management skills Demonstratable stakeholder management skills Experience with machinelearning (ML) and predictive modelling, as well as data visualisation tools and techniques ideally This Head of Data role will be responsible for data analytics and business … reporting to deliver commercially valuable insights; data science to develop predictive modelling and machinelearning algorithms; data strategy to support the company’s growth objectives. You will be involved and engaged with a talented and very skilled wider team, supporting you and the company to achieve best-in more »
UK | Remote/Hybrid Join this team in revolutionizing how regulated industries handle their communications! They're looking for someone special to lead their ML initiatives. ✨ Why Join this team? Impact: Your work will directly help thousands of organizations manage risk Innovation: Build cutting-edge ML solutions in a growing … industry Growth: We're consistently expanding, recognized by major analysts Team: Work with passionate engineers and data scientists 🎯 What You'll Do: Lead ML projects from concept to production Design scalable NLP and analytics solutions Guide a talented team of engineers Shape their ML infrastructure and strategy 🔧 You'll Love … This Role If You Have: Strong ML engineering background (NLP, Python, ML-Ops) Cloud platform expertise (AWS/GCP) Experience with enterprise-scale systems Passion for mentoring and technical leadership 💝 What They Offer: Competitive healthcare package Flexible work approach Strong retirement benefits Generous time off Regular sabbaticals True work-life more »