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Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Data Engineer Up to £80,000 About the Role I am seeking a technically strong Data Engineer to support the development and scaling of a modern cloud-based data platform within a fast-growing B2B SaaS organisation that specialises in marketing data integrity. The company provides a platform that helps organisations automate and standardise the flow of lead and marketing data across multiple systems, improving data quality, transparency and operational efficiency. Working within a small but growing data function, this role will focus on building and optimising data pipelines, improving access to platform and event data and strengthening the underlying data architecture that supports analytics, machine learning and AI initiatives. This role is ideal for someone with strong experience across modern data engineering practices, cloud data platforms and large-scale data processing within a SaaS or data-driven environment. Responsibilities • Build, maintain and optimise scalable data pipelines that move data from operational systems into analytics platforms, • Work closely with Engineering and DevOps teams to support data replication, ingestion and reliability, • Improve access to and usability of platform logs and event data for analytics and AI use cases, • Manage and structure data stored within AWS environments including S3 and Redshift, • Experience working as a Data Engineer or similar role, ideally within a SaaS or technology-driven environment, • Strong SQL experience and confidence working with modern cloud data warehouses such as AWS Redshift, • Strong Python experience for building and maintaining production data pipelines, working with APIs, logs and semi-structured data, • Experience using dbt to build and manage analytics models within a data warehouse, • Familiarity with AWS data services such as S3, RDS or Aurora, • Salary up to £80,000 depending on experience, • Flexible remote or hybrid working, • 25 days holiday plus an additional day for your birthday Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour, and the London Fabric User Group.

Do you want to build infrastructure that enables entirely new scientific discovery? Have you scaled data systems for ML workloads where performance actually matters? Are you ready to own foundational infrastructure at global, research-grade scale? We’re working with a mission-driven AI research organisation applying advanced multimodal machine learning (audio, spatial, sensor, text, etc.) to understand animal communication. Operating at the intersection of ML research, large-scale data infrastructure, and real-world biological data, this team functions like a high-performance research lab with production-grade engineering standards. They are entering a growth phase and are scaling the core systems that power distributed AI research, large multimodal datasets, and public-facing data platforms. This is not consumer tech or ad optimisation - the infrastructure you build directly enables new scientific discovery. The role This is a Senior Infrastructure Engineer (Backend / Data Performance) position focused on designing, scaling, and hardening the data and backend platforms that support distributed ML workloads and TB–PB scale datasets. You’ll work closely with researchers and engineers to turn experimental systems into reliable, high-performance, production infrastructure. Key responsibilities • Design and optimise high-performance data pipelines for large, heterogeneous datasets, • Scale public-facing data infrastructure supporting ML research, • Optimise distributed AI workloads for latency, throughput, reliability, and GPU utilisation, • Build observability tooling for data quality, pipeline health, and experiments, • Support GPU infrastructure for large-scale model training, • Translate research prototypes into robust, production systems, • Scope and supervise work for interns, PhDs, and post-docs Key details • Salary: up to £150k (may be flexibility to £160k) (UK), • Working model: Fully remote (UK), • Tech stack: Python, Kubernetes, Docker, Terraform, GCP, GPU clusters, • Visa: No sponsorship, • Seniority: 5+ years backend / infrastructure engineering (flexible for exceptional profiles)

Trainee AI Engineer - No Experience Needed! 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 successStep 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. Ready to future-proof your career? 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.

Job Title: Platform Operations Engineer Department: AI Lab – Platform Operations Team Location: Remote Employment Type: Full-time, Permanent Overview We are actively looking to secure multiple Platform Operations Engineers to join Experis, part of the ManpowerGroup — a global organisation with over $20 billion in annual revenue and more than 1,000 consultants on assignment across 20 clients worldwide. Experis UK is in an exciting growth phase, with ambitious expansion plans and deep partnerships across multiple industries. Our model is personal and career-focused: we invest in our consultants through continuous training, technology exposure, and collaborative development. About the Role IBM’s AI Lab is building next-generation AI platforms and services. To support this mission, we’re growing our Platform Operations Team, responsible for the cloud infrastructure that powers our AI services. As a Platform Operations Engineer, you’ll work across AWS, Kubernetes, and internal automation tools to ensure the platform runs smoothly, securely, and efficiently. This role suits someone who enjoys working at the intersection of software development and operations — writing code, automating infrastructure, and supporting high-performance machine learning environments. Key Responsibilities • Deploy, manage, and monitor applications on AWS EKS (Kubernetes), • Build and maintain Helm charts, manifests, and ArgoCD configurations, • Contribute Python code for internal tooling, automation, and services, • Manage CI/CD pipelines (e.g. Concourse, GitLab CI), • Troubleshoot issues in networking, permissions, and application performance, • Work with development teams to streamline deployment and scaling of AI systems, • Maintain secure cloud environments through thoughtful IAM and Terraform configurations Essential Skills and Experience • Strong hands-on experience with Kubernetes (deployment, debugging, Helm), • Intermediate to advanced Python development skills, • Familiarity with CI/CD pipelines, especially writing and debugging them, • Solid understanding of AWS services (EKS, IAM, S3), • Confident with Linux-based environments and containerization (Docker) Ideal (Bonus) Skills • Experience with Helm, ArgoCD, and GitOps workflows, • Practical knowledge of Terraform for infrastructure-as-code, • Understanding of Kubernetes networking, ingress management, and certificate handling, • Exposure to OAuth/OpenID, certificates, and authentication proxies

SAP Core Banking Lead Level: Associate Manager Location: London / Bristol / Manchester Industry: Financial Services Consulting Salary: £70,000 to £80,000 + benefits and bonus About the Role Our client is a global professional services powerhouse, operating at massive scale across strategy, consulting, technology, and operations. They work with the world’s largest banks, governments, and institutions to modernise core platforms that underpin national and global financial systems. This role sits within their Banking Transformation practice, focused on the migration of SAP Banking Services 9 to SAP S/4HANA Transactional Banking (TRBK). These are not pilot projects or proofs of concept. This is enterprise-grade transformation, delivered at scale, for major banking clients. You will be trusted with real responsibility from day one, working directly with senior client stakeholders and leading critical parts of complex SAP Core Banking programmes. Flexibility and mobility are required, as client presence is a key part of how this organisation delivers outcomes. What You’ll Be Doing • Leading SAP S/4HANA Transactional Banking (TRBK) transformation programmes for major banking clients., • Driving platform consolidation, data migration, and process harmonisation across legacy and modern banking estates., • Acting as a recognised SAP Core Banking subject matter expert within large, multi-disciplinary delivery teams., • Defining target-state architectures covering deposits, lending, payments, and account management., • Designing and deploying SAP Core Banking components including TRBK, Payments Central, and SAP Fioneer solutions., • Working closely with senior business and IT stakeholders in Retail Banking, Commercial Banking, and Payments., • Leading application design and development activity, owning delivery quality and outcomes., • Mentoring consultants and helping grow the SAP Banking capability within the wider transformation practice., • Supporting sales and pre-sales activity by shaping credible, value-led SAP Core Banking solutions. You will bring: • Deep hands-on experience with SAP S/4HANA Core Banking and Transactional Banking (TRBK)., • Proven involvement in SAP Core Banking upgrades or migrations, ideally within large banking environments., • Strong knowledge of SAP Payments Central, Product Factory, and Business Partner integration., • Experience leading technical design and contributing to cross-team architectural decisions., • Confidence working in complex, client-facing delivery environments., • Understanding of banking regulations, risk, and compliance requirements., • Strong communication skills and the credibility to operate at senior stakeholder level. Nice to have: • SAP ABAP for HANA., • SAP Fioneer solutions., • Exposure to platforms such as Temenos, Mambu, or Thought Machine., • Agile delivery experience (SAP Activate, SAFe). What You’ll Receive • Base salary of £70,000 to £80,000, depending on experience., • Clear, structured progression within a global consulting organisation known for promoting from within., • Exposure to some of the largest and most complex SAP Core Banking transformation programmes globally., • The chance to build a long-term career at the centre of banking technology change., • Access to world-class delivery frameworks, tooling, and learning pathways. Who This Role Suits Best This role is ideal for SAP Core Banking specialists who want: • Bigger programmes, higher stakes, and real delivery ownership., • Exposure to tier-one banking clients., • A clear step into Associate Manager–level leadership., • The credibility that comes from delivering transformation at global scale. This is not a junior or back-office role. It suits people who want ownership, client exposure, and progression within a global transformation practice delivering enterprise-scale SAP programmes.

Role: Fullstack JavaScript Developer Location: Role can be performed remotely with occasional travel to site/ Head Office in Southampton Salary: £45,000 to £60,000 DoE Start: ASAP The Opportunity: Join an innovative start-up on the cutting edge of Augmented Reality (AR), Artificial Intelligence (AI), and Machine Learning (ML) technologies. Their mission is to transform and enhance safety within an Engineering Maintenance & Repair environment. Following the success of a prototype being developed and securing significant grants and funding, they are now building a high-quality team to develop the products further. Collaborating with key partners in the Maintenance, Repair, and Operations industry, they have a real opportunity to create solutions that significantly improve efficiency and compliance for Engineers. The Role and Responsibilities: • Design, develop and maintain high-quality customer portal system with controlled data access, • Provide expert advice on customer portal development, including creating roadmaps, refining functionality, enhancing user interactions, and improving safety protocols, • Work closely with industry partners to gather requirements and feedback, ensuring the product meets their needs, • Engage in the full software development lifecycle, including plannin...

We are a University of Southampton deep-tech spinout who operate at the intersection of machine learning and chemistry.We design, train, and deploy machine-learning models to improve the accessibility, searchability, and understanding of vast chemical datasets.We are seeking a Full-Stack Developer t

The University of Southampton is seeking to appoint a Research Fellow in Medical Machine Learning to work on an externally funded collaborative research project focused on chest X-ray analysis in cystic fibrosis. Working with appropriate guidance and supervision, the post holder will undertake appli

A leading academic institution in Southampton is seeking a Research Fellow in Medical Machine Learning focused on improving clinical decision-making through advanced machine-learning models applied to X-ray datasets in cystic fibrosis. Collaborating with clinical experts, the individual will publish

Data Scientist Placement Programme - No Experience Required 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? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Senior FPGA Engineer – DOE – Southampton Hexwired Recruitment has partnered with a rapidly expanding R&D company with offices near Southampton who are now seeking an FPGA Engineer with sound experience using RTL Design to help develop a new range of wireless systems. The company are developing a range of revolutionary products, partnering with some of the largest manufacturers in their industry. This in an integral part of the business and you will be involved heavily in the development of a new portfolio of products. Key Requirements: • Degree or Masters in a relevant field (Telecoms, Physics, Maths, Wireless systems), • 5+ years commercial FPGA design experience, • Experience using Verilog, • Solid RTL design knowledge, • Knowledge of UVM is advantageous but not essential The company are offering competitive salaries dependent on experience along with an excellent benefits package. The company are also offering remote work and the chance to get in on a huge greenfield project from the beginning. If you're interested in this Senior FPGA role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today

Principal Embedded Software Engineer– Southampton - £70k - £80k Hexwired Recruitment has partnered with a world renowned Electronics manufacturer based in Southampton who are now seeking a Principal Embedded Software Engineer to help develop and maintain a brand new system the company is developing. The company are recognised globally, and are expanding because of a healthy order book. The company are now seeking a Principal Embedded Software Engineer with excellent experience leading technical projects as well as working autonomously on new projects. This is a Principal Embedded Software role focusing on Processor design as well as comm interfaces. Due to the nature of the work, this will be a mostly onsite role. Key Requirements: • Bachelors, Masters or PhD in Computer science, Embedded Systems, Maths, Physics or similar, • 10+ years commercial Embedded software experience, • Excellent Firmware RTOS experience, • Good commercial Serial Comms experience (RS232, RS422, TCP/IP etc), • Any experience working on testing embedded code is highly desirable. The company are looking to offer circa £80k dependent on experience. Along with an excellent benefits package. If you’re interested in this Principal Embedded Software role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, FPGA, Python, Electronics, Hardware, Golang Development, Machine Learning, Data Science or Simulation contact us today

Trainee AI Engineer - No Experience Needed! 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? 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

Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment. Machine Learning Engineer (Python / MLE ). We are looking for a number of MLE / Machine Learning Engineers for a critical 6 month contract with a household name.

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

A machine learning mage: You write clean, scalable, high-performance deep learning code. Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-bef

As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. Machine Learning Engineer (NLP). As Machine Learning Engineer (NLP), you will be responsible for:.

We’re working with an early-stage deep tech company developing a next-generation analytical platform at the intersection of machine learning, mathematics, and experimental science. Machine Learning Research Engineer,. Designing novel algorithmic and machine learning approaches to interpret complex

Senior Machine Learning Engineer Cambridge to £90kDo you have experience of solving real-world problems via Machine Learning techniques?You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive in

This is an opportunity to join a fast-growing, AI-first analytics business where you will build full-stack machine learning and GenAI solutions that directly power a market-leading data platform. Combining modern GenAI approaches with classical machine learning techniques to improve product performa

In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many wealth management, banks and FinTech firms. The Role – Head of Machine Learning. Good experience in M

Senior Machine Learning Engineer. Apply reinforcement learning approaches including SFT, DPO, PPO and GRPO. Strong hands on reinforcement learning experience.

Job title: Senior Machine Learning Research Engineer Salary: £64,490 - £86,255Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: PermanentHours: Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessme

Stay current with the latest machine learning and artificial intelligence research, attending top-tier conferences and communicating information across the team. An interest in gaming and exploring the intersection of machine learning and game technology is desirable. Work with multi-functional team

Senior Machine Learning Engineer — Ranking & Recommendations. We're looking for a Senior Machine Learning Engineer to be the first dedicated ML hire.

Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning. Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.

Machine Learning Engineer II, Marketing Testing. We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. Foundational knowledge in machine learning principles and statistical methods.

The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. In‑depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural network

Collaborate with Waymo Machine Learning teams in London and Oxford to and the Google DeepMind team in London to use large models to improve simulation realism. Strong background and experience in applied Deep Learning.

Our client is seeking aMachine Learning Engineer to support the development, deployment, and operational management of machine learning models within a growing data and analytics function. Hands‑on experience deploying, monitoring, and maintaining machine learning models in production environments

You’ll be leading technical work within a team of adaptable, creative and product-focused engineers, who train & integrate cutting‑edge machine learning across a variety of products and deploy them into production for millions of users. You'll be joining the Machine Learning Growth domain. Senio

Our Machine Learning Engineers work on building intelligent systems to democratize AI across a wide range of solutions within Apple. Bachelor of Science in Machine Learning, Data Science, Computer Science or a related quantitative field or equivalent experience. Demonstrated experience in Machine Le

A leading FinTech company in Central London is seeking a Head of Machine Learning to lead their Data Science team. Candidates should have 3-4 years of experience in Machine Learning, AI, and a strong technical background in Python and Azure.

Work within the development team to extend and expand upon the extensive statistical, time series and machine learning capabilities of our data analytics portfolio. Familiarity with statistical, econometric time series, machine learning or other mathematical algorithms and their uses.

As Machine Learning Engineer, you will be advancing the state of the art in machine learning using novel computing hardware. Expertise developing and benchmarking machine learning algorithms. Machine Learning Research Engineer.

Strong background in Machine Learning. Experience supporting applied machine learning teams that work closely with Product. We’re looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!.

Strong foundational knowledge of various machine learning algorithms and a proven ability to select the appropriate methodology, avoiding a one‑size‑fits‑all approach. Senior Machine Learning Engineer. Lead the algorithm selection, design, and prototyping of machine learning models to solve co

Machine Learning Research Engineer. Machine Learning Research Engineer. Annual budgets for learning and wellbeing.

As machine learning and AI technologies evolve, you'll be at the forefront of evaluating and implementing new approaches that keep Headout competitive in a dynamic industry. You have a minimum of 4 years of experience in machine learning engineering across different applications such as recommendati

We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. Foundational knowledge in machine learning principles and statistical methods. Machine Learning Engineer II, Marketing Testing.

Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX). Have industry experience in machine learning research.

Proven track record in applying machine learning / deep learning techniques for time-series, physiological signals or continuous sensor data. Role: As a Senior ML Engineer / Senior Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics

Machine Learning Engineering Manager – you will lead the productionisation of advanced AI solutions developed by our Group AI team and help shape the customer and colleague experience across one of Europe’s largest retail groups. Deep understanding of classical ML and modern deep‑learning meth

Your title will be Lead Machine Learning Engineer.

Senior Software/Machine Learning Engineer - Apple Music. London, England, United Kingdom Machine Learning and AI. Our work includes data analysis, large‑scale offline pipelines, machine‑learned model training and inference, and online services to provide real‑time personalised experiences.

Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical Machine Learning algorithms (e. Lead Machine Learning Engineer – Data Science Team.

Work within the development team to extend and expand upon the extensive statistical, time series and machine learning capabilities of our data analytics portfolio. Familiarity with statistical, econometric time series, machine learning or other mathematical algorithms and their uses.