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Our client is seeking a highly skilled Data Science Practitioner to join the AI & Data team on a contract basis in Glasgow or London. Advanced proficiency in Machine Learning and Data Science.

Lead Software Engineer (ML Infrastructure, Computer Vision, Nvidia Ecosystem) Location: Remote, 3 days a week Employment Type: Contract Overview We are seeking an exceptional Lead Software Engineer with deep expertise in machine learning infrastructure, computer vision engineering, cloud‑

Machine Learning Quant - Start Up.

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Youll work at the cutting edge of AI-driven networking and space systems, collaborating with engineers, researchers, and custome

Data Science Manager – Property Tech – London UK | High Growth B2B SaaS | Hands On Data Science Manager I am working with a scaling UK PropTech business where Machine Learning and AI sit at the core of the product and commercial strategy. They are hiring a hands on Data Science Manager

Head of Data – London – Messy Data / Web Crawlers / Data Aggregation High Growth B2B SaaS | AI & Machine Learning Platform £90,000 – £100,000 + Significant Equity I am working with a scaling London based technology business where Machine Learning and AI sit at the cor

Were looking for a talented and motivated Machine Learning Engineer to join our growing team. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions.

We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). Design, build, and productionise machine learning models using GCP-native services. Contract Machine Learning Engineer (LLM & GC).

Kafka/Flink streaming pipelines.Real time micro batches implementation (5 minutes, hourly, daily).Mongo/Atlas as alternative implementation (we might land with S3 instead).SageMakerMLOps / SageMaker Training / SM Model Deployment.

Machine Learning Operations Engineer. Design and develop machine learning operational processes across diverse client environments.

This role suits an experienced Applied Machine Learning Engineer or Data Scientist comfortable working with messy real-world data, operational constraints, and production systems. Develop predictive models using time-series and geospatial datasets. Engineer features from large-scale operational data

Data Engineer (Python SQL AWS) Remote UK to £50k.Would you like to work on complex and interesting AI based systems with a team of tech entrepreneurs?.You could be joining a growing start-up that is utilising Machine Learning and AI technology to revolutionise fish farming, improving fish health an

Data Scientist Placement Programme - No Experience Required Please make sure you read the following details carefully before making any applications. Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? xrnqpay Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Trainee AI Engineer - No Experience Needed! Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? xrnqpay If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Legal Technology Specialist Top-tier US law firm is hiring a Legal Technology Specialist to join its renowned London office on a permanent basis, based in a fantastic and sought-after location near Liverpool Street station. If you are a quick learner and a natural problem solver with a keen interest in legal technology and innovation, especially in developing and implementing legal tech strategies and products, then this could be the perfect role for you. • Salary to £60,000 + generous employee benefits, • £100 monthly employee contribution that can be used for lunch or other expenses, • Free lunch every Wednesday, discretionary bonuses, and more!, • 09:30-17:30 working hours, • Hybrid working – 4 days in the office / 1 day WFH Legal Technology Specialist Key Responsibilities: • Support implementation of procedures for capturing, storing, accessing, and sharing materials and information, • Design and manage practice area portals (SharePoint, HighQ) to maintain up-to-date knowledge and resource repositories, • Collaborate with Innovation team and KM/Practice Support Lawyers to advance legal technology strategy, • Manage day-to-day practice technology, including contract analysis, document automation, e-signature, client collaboration, and transaction management tools, • Deliver tailored training and support to lawyers and Business Services staff, including 1:1 sessions for new lawyers, • Design quality assurance workflows to ensure accuracy of portal and client app updates, • Conduct usage audits of Innovation products to identify inactive projects/users for archiving or removal Legal Technology Specialist Skills & Requirements: • At least 2 years’ experience working in a similar role within a law firm, • Technical proficiency in adopting and implementing new technology, • Experience with collaboration software applications such as HighQ, Legatics, SmartSheet, or SharePoint, • Knowledge of generative AI or machine learning based legal software such as Harvey, CoCounsel, and Kira would be highly advantageous, • Experience with document automation software such as Contract Express, Hotdocs, PatternBuilder or Office & Dragons

🚀 Senior Talent Acquisition Partner - Technology - Machine Learning + Data 📍 Hybrid in London (Min 3 days per week onsite) 📄 Fixed Term Contract - 6 months - Immediate start! We’re hiring a number of Senior Talent Acquisition Partners to support a new client with a focus on hiring in London for a high-growth scale-up. This is a Hybrid role with at least 3 days a week onsite. You’ll be a true partner to the business, sourcing top talent, optimising processes, and delivering quality hires fast, with a main focus across technology business units. Your work will be very visible as part of our delivery team for the client. Ideally, you will have had specific experience in hiring machine learning engineers who are building something globally. You are going to love the brand we are partnering with. 🌟 What You’ll Do: • Own end-to-end hiring across several key business areas, • Manage the data as we hire, looking for more than just activity - helping managers make better decisions, • Build trusted partnerships with hiring managers, • Source top talent through creative and strategic methods, • Deliver a seamless, high-quality candidate experience, • Drive continuous improvement in how we hire, • Help build out recruitment strategies that will support hiring over the next 12 months 🔍 What You Bring: • Demonstrable full-cycle recruitment experience, • Proven experience hiring across technical verticals, • Confident working independently and managing stakeholders, • Hands-on sourcing experience across passive and active talent pools, • Driven, adaptable, and outcomes-focused, • Build real Trust with our client 💬 Let’s Talk! This is a fixed-term contract with the chance to extend.

Microsoft Data Solution Architect Remote based. Paying up to 80k basic + 20-30k commission A leading Microsoft Consultancy is looking for a Data & AI Presales Solution Architect to join the business on a permanent basis. This is a key role within their growing Data & AI practice, supporting customers on their cloud transformation journeys and shaping innovative solutions across the Microsoft ecosystem. You'll work closely with clients, sales teams and technical specialists to design compelling Data & AI architectures that showcase the value of Azure, analytics, and modern data platforms. Key responsibilities: Leading presales engagements across Data & AI, translating business challenges into well-defined Microsoft-led solutions. Designing high-level architectures across Azure Data Services, AI/ML, analytics, and modern data platforms. Supporting bids, proposals, and customer workshops, ensuring solutions are commercially viable and technically robust. Working alongside sales teams to qualify opportunities, shape customer roadmaps, and articulate the value of Microsoft Data & AI. Presenting complex technical concepts in a clear, engaging way to both technical and non-technical stakeholders. Staying aligned with Microsoft's roadmap, partner programmes, and emerging technologies to strengthen solution offerings. Experience required: Strong experience in a presales, solution architecture or customer-facing technical role within the Microsoft ecosystem. Deep understanding of Azure Data Services , including Data Factory, Synapse, Databricks, Data Lake, Microsoft Fabric and related analytics tools. Knowledge of AI and machine learning capabilities within Azure, such as Cognitive Services and Azure OpenAI. Ability to run discovery sessions, shape solution designs, and contribute to proposals and RFP responses. Excellent communication skills with the confidence to engage at C-suite and senior stakeholder level. A consultative mindset with the ability to balance technical depth with commercial awareness. Must be eligible for SC Clearance Remote based. Paying up to 80k basic + 20-30k commission TPBN1_UKTJ

Company description: Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Ensure all your application information is up to date and in order before applying for this opportunity. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. xrnqpay We then offer coaches, teams, professional bodies, and media channels around ...

Product Specialist Read all the information about this opportunity carefully, then use the application button below to send your CV and application. A brilliant opportunity for a talented Graduate to work as a Product Specialist, joining a market-leading disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided xrnqpay b...

You will also have commercial experience in delivering customer-facing products to the market that utilise computer vision and machine learning. You will also be open to learning new technologies, including web technologies, to help integrate AI and data visualisation capabilities into our existing

This Senior Data Scientist & Machine Learning Researcher is within the Strategic Research Group (SRG). Prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise.

Good knowledge of Python programming Experience in cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience:. Geospatial Data Engineer - Contract

Our Principal Data Scientist & Machine Learning Researcher sits within the Strategic Research Group (SRG).

Raytheon UK has a unique, perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG). As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from i

Our client is seeking an intelligent Data Modelling Engineer to develop statistical models for predicting variation in Additive Manufacturing, working closely with process, materials and software engineers. The ideal Data Modelling Engineer will have experience with data management, machine learning

This opportunity is ideal for a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer, or LLM Engineer who thrives on client engagement, rapid experimentation, and taking ownership of delivery in fast-paced environments. Generative AI / LLM Deployment GenAI | LangChain | RAG |

The Machine Learning Platform team sits within the Platform Collective and is responsible for designing, building, and maintaining the infrastructure and tools which empower our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale. Senior Platform Engineer, Machi

Design, develop, and implement machine learning models and AI algorithms in alignment with project-specific objectives. Handle data processing and analytical tasks to prepare data for AI and machine learning applications. Stay current with AI and machine learning developments and integrate cutting-e

A leading fintech company in London is seeking a Data Scientist to develop cutting-edge credit risk models for loan and credit card products. This role offers the opportunity to work with the latest machine learning techniques and a rich data repository.

Discuss with stakeholders requirements for analysis* Run exploratory data analysis and turn it into questions which can be answered with analytical techniques* Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems* Co

Senior Data Scientist - Conversational & Agentic AI. We are seeking a Senior Data Scientist to develop machine learning models and analytics systems that power intelligent conversational AI and autonomous AI agents for e-commerce. Fine-tune LLMs for Agentic Applications: Fine-tune language models fo

A leading AI research firm seeks a Technical Lead, Research Engineer to drive AI for Chip Design initiatives. You will leverage advanced machine learning technologies to tackle complex challenges affecting the chip design industry.

Machine Learning Software Engineer - Full Stack (LLM).Bachelor’s degree in Computer Science, Computer Engineering, or a related technical background.Backend software engineering experience in Python.Responsibilities and Requirements.Please note that the full job description is available via the Ap

We're recruiting AI & ML Engineers across some of the fastest-growing startups in the world — including Poolside, Parallel, Final Round AI, and Harmonic.

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. FactSet (NYSE:FDS | NA

Research assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Direct experience in generative AI and LLM research.

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. Faculty is the professional challenge of a lifetime. Our consultants, product developers, business development specialists, operations professionals and more all bring s

Part of the business is an Advanced Analytics & Machine Learning platform that integrates into enterprises ERP systems giving them insights into how to free up capital & increase profitability. Wyatt Partners are working with the CEO of a privately funded FinTech company, to hire a Head of Product.

Technology, Information and Media and Software Development. Referrals increase your chances of interviewing at Search Technology by 2x. Research Scientist – Generative & Applied Machine Learning.

Learning & Growth: Conference and learning budgets, mentorship, and upskilling programmes. Referrals increase your chances of interviewing at Signify Technology by 2x. Get notified about new Machine Learning Engineer jobs in.

Senior Data Scientist / Machine Learning Engineer. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems. They are looking for an experienced Data Scientist or ML Engineer to support a l

Infrastructure as code, automated testing, and code reviews.Experience with full-stack development using JavaScript, React, Java, or Flask for building small scale applications or internal tools.Ability to develop and maintain data-centric platform you build to train and release machine learning mod

Senior Machine Learning Engineer, AI Infrastructure, Autonomy. Senior Machine Learning Engineer, AI Infrastructure, Autonomy.

Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting. Data Science Consultant ro

A leading FinTech company in London is seeking a Head of Data Science to work hands-on with a growing team. Strong skills in machine learning and data analytics are essential, along with experience in collaborative team environments.

We are currently looking for a Machine Learning 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 Machine Learn

Senior Machine Learning Engineer - Data Science Focus. We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. Strong data science fundamentals: supervised learning, evaluation metrics, feature engineerin

You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Rese