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Job Description Assembly Engineers Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. Join a leading company in industrial machinery, with a competitive salary and opportunities for professional development. About Us:Reliant Machinery is a global leader in flatbed lamination, producing innovative, high-quality machinery exported worldwide, with over 50 years in the industry. We have a consistently full order book and are looking to expand our assembly and service operations. Role Overview:We are seeking experienced Assembly Engineers/Fitters to join our existing team. Successful Assembly Engineer candidates should ideally: * • Have hands-on experience of mechanical equipment assembly or machine building Be able to read engineering assembly drawings Demonstrate a good working knowledge of using various hand tools Have a basic understanding of pneumatics Have a flexible approach and be willing to work overtime, if necessary Interested? xrnqpay Click apply now! Reference: AGS489Vacancy: Assembly EngineersSalary: Competitive SalaryLocation: LutonHours: Full-time, Monday to Friday. 37.5 Hours per week National World / Smart Hire are advertising on behalf of RELIANT MACHINERY LTD

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 fo...

Trainee AI Programmer – 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 £30,000-£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 £30,000–£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

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

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 £30,000-£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 £30,000–£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

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:.

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

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

Senior Machine Learning Engineer. Strong hands on reinforcement learning experience. Strong engineering fundamentals and ability to write clean, production ready ML code.

Strong commercial experience as an AI, ML or Machine Learning Engineer working on end-to-end solutions. 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.

Python Software Engineer (Machine Learning AWS) Remote UK to £90kAre you a data savvy Python Software Engineer with experience of implementing ML algorithms into production?You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a g

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

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. Collaborate with cross‑functional engineering teams to integrate machine learning services into applications

We are looking for a highly capable machine learning engineer to optimize and enhance our machine learning systems. At least two years’ experience as a machine learning engineer. Machine Learning Engineer – Job Description.

You hold a PhD (or equivalent experience) in machine learning, computational biology, or structural biology, with a proven track record of applying machine learning to real-world protein structure or drug discovery challenges. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech

Professional experience as a Machine Learning Engineer, ideally with exposure to platform or infrastructure-focused work. As a Senior Machine Learning Engineer, you’ll focus on designing and implementing reusable ML templates, deployment patterns, and MLOps tooling that support scalable, reliable,

As a Senior Machine Learning Engineer, you’ll know how to engineer beautiful code in Python and take pride in what you produce. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. Senior Machine Learning Engineer at Datatonic.

Applied Machine Learning Engineer, Developer Publications. Experience with Machine Learning, with a particular focus on Large Language Models (LLM) that generate code. BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience).

As a Machine Learning Test Engineer, you will play a critical role in scaling and advancing testing infrastructure for large-scale AI projects. You will work on complex, high-volume test suites across multiple platforms, ensuring that machine learning frameworks operate reliably and efficiently. Pro

Senior Machine Learning Engineer. Are you passionate about building impactful AI solutions and pushing the boundaries of machine learning? Do you want your work to deliver real-world value across critical national infrastructure?. In this role, you will design, develop, and deploy machine learning a

Senior Machine Learning Systems Engineer. Act as the “Engineer’s Engineer,” setting the standard for how we write production‑grade ML code and mentor the team on high‑stakes delivery. This isn’t just about calling an API; it’s about engineering the plumbing, the memory, and the reasoni

We are looking for an unrelenting Senior/Lead Engineer to bridge the gap between infrastructure, UX, and machine learning to ship these groundbreaking features to our global customer base. Deep knowledge of server-side architecture and Machine Learning. Contribute end-to-end to our new suite of AI A

We’re now looking for a Machine Learning Engineer to sit at the heart of their data and AI function. Build and maintain scalable machine learning models that power customer‑facing mobile and web apps as well as internal dashboards. Collaborate daily with data scientists, data engineers and softw

You will work closely with engineers to productionize quant logic. Collaborate with backend engineers to deploy models in production. Engineers are expected to think about product impact, not just code.

Design challenging, real-world STEM benchmark problems in domains such as data science, machine learning, finance, and software engineering. This role is a part-time Machine Learning Engineer position, offering $50–$100/hour for 30+ hours/week, primarily weekdays. Requirements include an active or

Our AI-first platform is transforming how care is delivered, combining advanced machine learning with intuitive product design to make healthcare more personalised, efficient, and scalable. Senior AI Engineer — HealthTech | UK (remote). Collaborate with product and engineering teams to deliver imp

As a Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure, tools, and services that enable businesses to build and deploy reinforcement learning models efficiently and effectively. Integrate existing machine learning frameworks and librar

We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. Practical experience with prompt engineering—designing, testing, and refinin

The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Evaluate emerging research in machine learning, deep learning, and perso

Trainee / Junior Machine Learning Engineer – Remote | Entry Level AI Role | Hiring Now. Trainee and Junior Machine Learning Engineers. Machine Learning, Artificial Intelligence, Data Science, and Python development.

Olive Jar Digital is seeking a Machine Learning Engineer to help design, build, and refine AI prototypes across multiple Discovery and Alpha initiatives. Ability to work collaboratively with data scientists, engineers, and product teams. You will work at the intersection of engineering and data scie

Define the long‑term technical strategy for high‑performance Machine Learning systems. Significant hands‑on experience optimising and debugging deep learning models. Deep understanding of at least one major deep learning framework (ideally PyTorch).

NVIDIA is seeking engineers to develop algorithms and optimizations for our inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. MS or PhD in Computer Science, Ele

Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e. Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure t

We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. Solid understanding of machine learning principles. Background includes machine learning and AI implementation.

Lead Machine Learning Engineer. Lead Machine Learning Engineer. MSc or PhD in Computer Science, Machine Learning, or Signal Processing.

As a Machine Learning Engineer you'll join a cross functional team, collaborating with Data Scientists and Software Engineers on complex insurance underwriting and pricing systems. You are a data savvy Machine Learning Engineer with advanced Python coding skills and a strong knowledge of AWS. As a M

Machine Learning Engineer – High‑Growth Tech Scale‑Up (London). Cross‑functional collaboration with data scientists, engineers, and product teams.

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. Defining and implementing best practices

Full Time Senior Software Engineer (Leadership) - Machine Learning in AI at Meta in Zurich, Switzerland | Remote, UK | London, UK. Is this Software Engineer (Leadership) - Machine Learning job remote?. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivale

As the Lead Machine Learning Engineer, you will own the technical strategy for predicting user actions. Select and implement optimal model architectures using a mixture of LLM steps and traditional machine learning models. High-autonomy environment with no product managers, where engineers own the f

Deep understanding of state-of-the-art machine learning methodologies and proven experience in translating them into practical solutions.

A typical week as a Machine Learning Engineer might involve. ML Engineer, Data Engineer, or similar. You’ll design, deploy, and optimise AI and machine learning systems that are reliable, maintainable, and measurable.

As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Bridge

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Defining and implementi

As a Staff Machine Learning Engineer at Orbital, you will architect cutting-edge AI systems for the multi-scale design of physical technologies. An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations. Engage

A financial technology firm in Greater London seeks an experienced Machine Learning Engineer to develop production-ready data solutions.

You’ll be shaping the full machine learning lifecycle, collaborating closely with data scientists and engineers in a cross-functional environment to define how we solve problems with data science. We’re looking for a talented and pragmatic Machine Learning Engineer to join our growing data scien