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Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strate

• Must hold active clearance – SC or MoD DV, • Up to £95k DoE plus bonus, • 4 days on site in Brentford – future expensed travel to client site in Cambridge, • Strong experience across MLOps, ML infrastructure and production AI systems We are recruiting a Senior AI/ML Engineer with strong MLOps and ML infrastructure experience for a highly technical AI organisation delivering advanced computer vision and machine learning technologies across Defence, Security and other high-performance environments. You’ll work alongside AI researchers, software engineers and technical leadership to take cutting-edge machine learning research from R&D through to reliable, production-ready systems. The role offers the opportunity to work on challenging AI applications deployed across both large-scale cloud environments and edge platforms. You will design, build and maintain the infrastructure that powers advanced AI systems from research through to production. You’ll develop distributed training pipelines, build ML lifecycle infrastructure, optimise models for deployment and support reliable AI systems across cloud and edge environments. • Strong Python/PyTorch and ML infrastructure experience, • Experience with distributed ML training using Ray, DeepSpeed or PyTorch Lightning, • Strong MLflow, model registry and ML lifecycle experience, • Experience with TensorRT, ONNX, quantisation and model deployment, • Strong Docker, CI/CD and GitHub Actions experience, • Experience with Prometheus/Grafana monitoring and production observability, • Cloud/edge AI deployment, with NVIDIA Jetson/DeepStream highly desirable, • Knowledge of Kubernetes, Kubeflow, Metaflow and Kafka advantageous, • Computer vision, aerial/satellite/ISR experience highly beneficial MLOps / MLOps Engineer / ML Infrastructure / ML Platform / AI Engineer / Machine Learning / ML / Python / PyTorch / Ray / DeepSpeed / PyTorch Lightning / MLflow / TensorRT / ONNX / Docker / Kubernetes / CI/CD / GitHub Actions / Prometheus / Grafana / Metaflow / Kafka / NVIDIA Jetson / DeepStream / Edge AI / Computer Vision / Deep Learning #J-18808-Ljbffr

New Permanent Opportunity for a Senior AI/ML Engineer in Greater London • Must hold active clearance – SC or MoD DV, • Up to £95k DoE plus bonus, • 4 days on site in Brentford – future travel to client site in Cambridge, • Strong experience across computer vision, deep learning and production AI CNNs, Vision Transformers and advanced neural network architectures Who are we? We are recruiting a Senior AI/ML Engineer with strong computer vision and deep learning experience for a highly technical AI organisation delivering advanced machine learning technologies across Defence, Security and other high-performance environments. You’ll work alongside AI researchers, software engineers and technical leadership to transform cutting-edge research into robust, production-ready AI solutions. The role offers the opportunity to work on challenging computer vision applications deployed across both large-scale cloud environments and edge platforms. What will the Senior AI/ML Engineer be doing? You will design, develop and optimise advanced computer vision solutions using CNNs, Vision Transformers and modern deep learning techniques. You’ll develop customised neural network architectures, training strategies and evaluation methods, while translating state-of-the-art research into production-quality software. The role will involve building scalable training, validation and inference pipelines, optimising models for edge and cloud deployment, and contributing to software architecture and engineering best practice. You’ll work closely with researchers, software engineers and customers to deliver innovative AI solutions for demanding real-world applications. Key Skills and Requirements • Strong Python/PyTorch development and production AI/ML experience, • Expert knowledge of CNNs, Vision Transformers and modern computer vision, • Experience developing custom neural networks, training strategies and AI research techniques, • Strong software engineering skills including Git, testing and CI/CD, • Experience with object detection, tracking, segmentation and real-time/edge AI, • Knowledge of GPU optimisation, Docker, Kubernetes and MLOps, • Experience with aerial/satellite/ISR imagery and/or Defence environments highly desirable, • MSc/PhD in AI, Computer Vision or ML or equivalent commercial experience KEY SKILLS: AI/ML Engineer / AI Engineer / Machine Learning / ML / Computer Vision / Deep Learning / CNN / Convolutional Neural Networks / Vision Transformers / ViT / PyTorch / TensorFlow / Neural Networks / Model Development / Model Optimisation / Object Detection / Segmentation / Tracking / GPU / Edge AI / Real-Time Inference / Python / Git / CI/CD / Docker / Kubernetes / MLOps #J-18808-Ljbffr

Stay informed on advances in machine learning, deep learning, and personalisation, and evaluate their integration into existing systems. Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content unde

A cutting-edge technology company is seeking a Machine Learning Engineer to design, train, and optimise models for user personalisation. The ideal candidate should have expertise in TensorFlow and experience with GCP for deploying and maintaining ML models. Responsibilities include building scalable data pipelines, deploying ML models, and collaborating with cross-functional teams to align solutions with business goals. Strong communication skills and analytical abilities are essential for this role. #J-18808-Ljbffr

We're currently looking for Trainee Kitchen appliance Engineers in this area! About your role Step into a career where your curiosity, determination and appetite for hands-on learning really count. As a Trainee Kitchen Appliance Engineer, you'll play a vital role in keeping homes running smoothly by bringing essential appliances back to life, while building a future-ready skillset you can be genuinely proud of. Whether you're changing direction, starting fresh, or looking for a role with real purpose, this is your chance to grow. What matters most is your drive to learn, your problem-solving spark, and your commitment to doing great work with care and confidence. At a state-of-the-art training centre, you won't just learn the basics - you'll develop the skills, qualifications, and practical experience to thrive. You'll learn how to diagnose, service and repair a wide range of kitchen appliances, from electric ovens and hobs to washing machines, dishwashers, and refrigeration. With support from experienced engineers, you'll develop the technical expertise, confidence, and know-how to solve problems and make a real difference from day one. This is a role where you'll make a real impact. You'll be out in the community, meeting customers, solving problems, and keeping appliance powered up and safe. No two days are the same - from restoring a broken oven before a family meal to getting a washing machine back up and running, every day brings new challenges and opportunities to help customers. You'll diagnose faults, repair essential household appliances, and help customers get the best performance from their products, ensuring their homes continue to run smoothly. Every job is a chance to make a real difference. We're proud that our commitment to inclusion and developing future talent has been recognised through awards including EDI Initiative of the Year at the 2026 Women in Utilities Awards, being named a Times Top 50 Employer for Gender Equality for the fifth consecutive year If you're looking for a career with purpose, progression, and hands-on learning - and you want to feel supported as you grow - this could be your next step. Bring your ambition. Bring your curiosity. We'll help you turn it into a career that makes a difference. Here's what we're looking for: Use your CV to tell us who you are and show us why you're a great match for this opportunity ?? Shows strong technical aptitude, whether developed through study, practical experience, or a passion for tinkering, fixing and understanding how things work. Are passionate about delivering brilliant customer service and creating positive experiences for customers. Have a full UK driving licence with no more than 6 points. Are able to commit to a 7-week training programme, primarily based in Wakefield, taking place within your first four months. Any required travel and accommodation will be fully covered. Here's what's in it for you. A starting salary of £28,090 which will continue to rise as you hit specific milestones during your traineeship. Once you have completed the full programme and aftercare support your salary will increase to £40,133 with bonus and add ons on top. We also offer London Weighting Allowance ranging from £4,160 to £6,240 (dependant on location) for living or starting your day within London. An expensed van for you to use for work, including an EV charge point where applicable & charge card. TPBN1_UKTJ

Senior Computer Vision Engineer - Deep Learning. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable. You will design, develop and deploy production-grade computer vision systems using modern deep learning t

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles.

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data. Prompt & Context Engineering:.

Ability to apply your machine learning knowledge to solve real product problems. Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture. For your ML engineer role, you'd be building the AI engin

Experience working closely with machine learning engineers on model development and deployment. Collaborating with machine learning engineers to train, deploy,. Designing and implementing data and machine learning systems that run from edge devices in the field through to cloud, scaling to hundreds

Part of an engineering cohort being hired across machine learning, front-end and back-end. A new software venture built inside an established global provider of analytical and research services to the private capital industry is hiring Machine Learning Engineers to build the models, agents and evalu

Machine Learning Engineer (MLOps Python LLM AWS) London / WFH to £90k Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems? You could be progressing your career in a hands-on technical leadership role at a SaaS FinTech;

Machine Learning Engineer (Voice) - London An AI-native engineering org. What we need; A cracked, AI-native engineer. FOUNDING ENGINEER MEANS FOUNDING You will be integral to whether Harmonica succeeds.

What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise pl

Junior AI Engineer / Machine Learning Engineer – no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Newto Training's AI Engineer Career Programme is designed to help aspiring professiona

Strong understanding of machine learning engineering principles and modern software engineering practices. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS. Partner

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London. Our team is currently composed of 12 members, including ML engineers, data engineers, and bioinformaticians. The ideal applicant will have experience using genomic data in a machine learning context.

This represents some of the most technically demanding and high‑stakes engineering and product at Meta, driven by a deeply mission‑focused team. You'll combine strong engineering fundamentals with cutting‑edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and

You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state‑of‑art machine learning models which will enable the next‑generation E2E solution of autonomous driving. We are looking for a full‑time Machine Learning

You will work alongside ML Scientists, Backend Engineers, MLOps, and other ML Engineers to build, deploy, maintain, and monitor the machine learning systems that power personalised ranking across key surfaces of the Depop app, including search results and recommendations. Depop is looking for a Mach

We are looking for exceptional graduate machine learning engineers to work alongside our quantitative researchers on cutting-edge machine learning problems. We are looking for graduates that will be comfortable working both independently and in small teams on a variety of engineering challenges, wit

We're looking for a Machine Learning Engineer to shape and scale their pricing technology.

We're looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that s

As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth. You will lead the bridge between AI resear

The Applied Machine Learning team owns production systems and pursues new ideas, from conception and prototyping through to deployment, evaluation and iterative improvement. Working with clinicians, assessors and engineers, we build reliable ML systems that help bring medical devices to market faste

A leading AI technology company in Greater London is seeking a talented Machine Learning Engineer to develop and implement cutting-edge artificial intelligence products.

Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We’re looking for a Junior Machine Learning Engineer on a 6 months fixed

Get notified about new Machine Learning Engineer jobs in. Senior Machine Learning Scientist. Proven track record as a Machine Learning Scientist delivering models into production.

Research Engineer, Machine Learning (RL Velocity). Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Research Engineer on the team, you'll build and improve the core platform that underp

Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. Master’s

Lead development of machine learning enablement workflows for Rivian edge AIplatforms. Port, optimize, validate, and benchmark machine learning models for deployment onhardware accelerators and NPU-class architectures. Deep experience in machine learning systems, model deployment, or AI infrastructu

Ship a consumer- facing solution within weeksExtensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedbackActively monitor the market and rese

Machine Learning / AI Engineering. Design, build, and deploy scalable machine learning systems. Already trusted by major enterprise customers, they’re scaling rapidly and seeking exceptional ML Engineers to join their London team.

We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. Build and scale machine learning systems that generate deep understanding of content across modalities. You have experience building and deploying machine lea