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Do you want to work for a progressive organisation with a good history, who makes a product that our customers want and need. Are you looking to establish a career in manufacturing?Then look no further this could be the job for you!Our apprenticeship provides valuable on-the-job training and experience combined with studying for several qualifications including Level 3 Science Manufacturing Technician standard and Level 2 and 3 in papermaking.About the Role As a manufacturing apprentice, you will be learning all aspects of the papermaking process to become a fully competent manufacturing operative at the end of the 3-year apprenticeship.RoleThis manufacturing apprentice role will enable you to learn the skills required to be able to assist the production department, resources, and systems to ensure the company maintains a high-quality product, always in line with company policies, regulatory standards, and statutory guidelines / deadlines.At the end of the 3-year apprenticeship with the training provided and qualifications achieved we expect that you will become fully competent in being a manufacturing operative and be able to complete the following duties:set up different machines.run the machine to create a pulp that will be used to produce paper.complete quality and productivity checks.undertake routine maintenance whilst maintaining safety and reliability standards and working as part of a teamThe apprenticeship would initially be a days based role, working Monday to Friday 8am - 4.30pm. At some point during your apprenticeship, you may be expected to work on shifts (6am - 6pm or 6pm - 6am).Please be aware that the qualifications to be completed for this apprenticeship take place in weekly blocks either in Grimsby or online. So you will need to stay in Grimsby for about 6 weeks in a year (the company will pay all expenses)Benefits Company pensionLife assuranceSick payFree company productsFree on-site parkingFood, retail, holidays, cinema, and gyms discountsWellness programmes, including Employee Assistance Program and OnDemand GP serviceFree early access to pay schemeSalary sacrifice schemesEmployee referral schemeRequirements Competencies and skills requiredGCSE English (Grade level 9-5) essentialGCSE Math (Grade level 9-5) essentialGCSE Science (Grade level 9-5) essentialExcellent problem-solving abilityGood communication skillsOrganisational skillsProblem-solverGood team workingTPBN1_UKTJ

Junior Maintenance Engineer\n Location: ChesterfieldSalary: £13.00 to £15.00 per hour + Overtime (1.5x)Hours: Monday to Friday, 7:30am to 4:00pm (Days)Job Type: Full Time, Permanent The Company\n Our client is a well-established manufacturing business with a long-standing reputation for quality and innovation. Due to continued growth, they are looking to recruit a Junior Maintenance Engineer to join their friendly and supportive engineering team. \n This is an excellent opportunity for someone looking to begin or develop their engineering career within a manufacturing environment. The company is committed to investing in its people and offers genuine training and progression opportunities. The Role\n As a Junior Maintenance Engineer, you'll work alongside experienced engineers, learning the skills required to maintain production equipment and support the smooth running of the manufacturing operation. \n Your responsibilities will include: \n\n • Carrying out planned preventative maintenance (PPM) on production machinery and equipment.\n, • Assisting with reactive maintenance and responding to equipment breakdowns.\n, • Working closely with the production team to maximise machine performance and minimise downtime.\n, • Ensuring all maintenance activities are completed safely and in line with company procedures.\n, • Completing maintenance records and documentation accurately.\n, • Developing your engineering knowledge through structured training and hands-on experience.\nWhat We're Looking For\n We're keen to hear from candidates who have: \n\n • A BTEC, NVQ, apprenticeship, or equivalent engineering qualification, or some practical engineering or maintenance experience.\n, • A genuine interest in engineering and learning new skills.\n, • A positive attitude and strong work ethic.\n, • Good communication skills and the ability to work well as part of a team.\n, • A proactive approach to problem solving.\nWhat's on Offer?\n\n, • £13.00 to £15.00 per hour.\n, • Monday to Friday days, 7:30am to 4:00pm.\n, • Overtime paid at 1.5x.\n, • Excellent training and development opportunities, including funded courses.\n, • Clear progression within the engineering department.\n\n If you're looking to kick-start your engineering career with a company that genuinely invests in your development, we'd love to hear from you. \n Apply today with your CV for immediate consideration

The Role:We're looking for an experienced and commercially minded Pricing Manager to lead the development, delivery and governance of our underwriting and pricing initiatives.You'll shape data-driven pricing strategies, oversee product and pricing change, and ensure strong customer, commercial and regulatory outcomes.This role blends deep technical pricing expertise with confident people leadership, stakeholder influence and robust governance capability.We are based in Aylesbury, Buckinghamshire and all attend the office once a week on a Wednesday.What you'll be doing:Leading and developing a multi-disciplinary pricing and underwriting team.Enhancing pricing and risk models using GLMs, machine learning and actuarial techniques.Driving pricing strategy to meet loss ratio targets while supporting growth in policy volumes and GWP.Owning product and pricing change, ensuring all developments are well-designed, governed and implemented.Providing regular insight and reporting to senior committees on performance, trends and recommended actions.Championing fair value and consumer duty, ensuring processes remain compliant and customer-focused.Collaborating cross-functionally with actuarial, product and functional leads to embed best practice.Monitoring regulatory and market developments and translating them into pricing and product improvements.Managing key partnerships, including our pricing engine supplier and partner insurers, ensuring value is fully realised.What we are looking for:Proven experience in pricing, product, underwriting or actuarial roles within insurance or financial services.Strong technical capability in pricing models, risk analysis, GLMs, machine learning and data-driven decision making.Confident people manager with experience coaching and developing high-performing teams.Strong understanding of regulatory expectations, including product governance, fair value and consumer duty.Skilled stakeholder influencer with excellent communication and decision-making ability.Proficient in SAS, SQL, Python and familiar with pricing tools such as Earnix, Quantee or Radar.Commercially astute, highly organised, delivery focused and comfortable managing multiple priorities.Collaborative, resilient and committed to continuous improvement and strong customer outcomes.Why Agria Pet Insurance:Agria Pet Insurance is one of the UK's leading specialist pet insurance providers. We only provide lifetime insurance for animals, so truly understand and care about our customers and their beloved pets - especially as most of our team are pet parents, and we're all animal-lovers. Our passion for pets means that we are trusted by The Royal Kennel Club, Lloyds and many other significant affinity partners to provide lifetime pet insurance in their names.Working closely with animal welfare organisations, vets and breeders, gives us deep insight on what's best for pets. And we give back too - including supporting hundreds of animal rescues, protecting over 100,000 rescued animals, and through donations of over £2m to animal charities.We are a strong, growing business, having doubled our GWP in the last 5 years, with a supportive ethos and family feel. We became one of the UK's Best Workplaces™ in 2023, 2024, 2025 and again in 2026, we have the top 4 slots on Which? Best Buy pet insurance, are ranked 4.8 on Trustpilot (higher than any other pet insurance provider) and we are extremely proud to be the only carbon negative pet insurer in the UK.What we offer:25 days annual leave which increases with service, plus bank holidays and an extra day off for your Birthday!Opportunity to buy/sell up to 5 days annual leave per calendar yearPension and Life Assurance schemeAccess to 25% off insuring your pet with Agria. Friends and family are also entitled to a discount tooWe aim to support the health and wellbeing of all our colleagues so you'll have access to a Health Cash Plan, mental health support and health and wellbeing platforms, including HeadspaceTPBN1_UKTJ

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

Junior Maintenance Engineer Location: Chesterfield Salary: £13.00 to £15.00 per hour + Overtime (1.5x) Hours: Monday to Friday, 7:30am to 4:00pm (Days) Job Type: Full Time, Permanent The Company Our client is a well-established manufacturing business with a long-standing reputation for quality and innovation. Due to continued growth, they are looking to recruit a Junior Maintenance Engineer to join their friendly and supportive engineering team. This is an excellent opportunity for someone looking to begin or develop their engineering career within a manufacturing environment. The company is committed to investing in its people and offers genuine training and progression opportunities. The Role As a Junior Maintenance Engineer, you'll work alongside experienced engineers, learning the skills required to maintain production equipment and support the smooth running of the manufacturing operation. Your responsibilities will include: Carrying out planned preventative maintenance (PPM) on production machinery and equipment. Assisting with reactive maintenance and responding to equipment breakdowns. Working closely with the production team to maximise machine performance and minimise downtime. Ensuring all maintenance activities are completed safely and in line with company procedures. Completing maintenance records and documentation accurately. Developing your engineering knowledge through structured training and hands-on experience. What We're Looking For We're keen to hear from candidates who have: A BTEC, NVQ, apprenticeship, or equivalent engineering qualification, or some practical engineering or maintenance experience. A genuine interest in engineering and learning new skills. A positive attitude and strong work ethic. Good communication skills and the ability to work well as part of a team. A proactive approach to problem solving. What's on Offer? £13.00 to £15.00 per hour. Monday to Friday days, 7:30am to 4:00pm. Overtime paid at 1.5x. Excellent training and development opportunities, including funded courses. Clear progression within the engineering department.If you're looking to kick-start your engineering career with a company that genuinely invests in your development, we'd love to hear from you. Apply today with your CV for immediate consideration

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

Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety. Champion responsible AI practices, ensuring fairness, transparency, and user s

As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. You will also represent IMC externally through participation in leading conference

As a Staff Machine Learning Engineer, you'll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture, roadmap and engineering direction for the next generation of our platform.

As a Principal Machine Learning Engineer, you will be responsible for turning research direction into production-grade machine learning systems. Open‑source contributions to machine learning or systems libraries. Principal Machine Learning Engineer.

Our Data and Machine Learning team is growing! We’re looking for a Head of Data Engineering and Machine Learning to join our team in London.

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom. Experience in deep learning, NLP or LLMs; bonus for CUDA or data‑pipeline chops. At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.

Support the productionalization and evolution of the Oracles — entities that leverage machine learning to drive Prima’s microservices behavior. Senior Machine Learning Engineer. Get access to learning resources, mentorship, and a growth plan tailored to you.

Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms. This Senior Machine Learning Scientist role bridges the gap between state-of-the-art (SOTA) research and robust, production-grade engineering. You will independently own and

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. We are looking for researchers and software engineers who are passionate about developing machin

Principal Machine Learning Scientist. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.

Graham Capital in Greater London is looking for a Machine Learning Engineer to join their Data Science team. Candidates should have at least 3 years of experience with Machine Learning on large data sets and proficiency in Python.

Staff Machine Learning Engineer (Technical Lead, Machine Learning). Working at the intersection of research, infrastructure, and product, you'll be responsible for turning research direction into reliable, scalable, production‑grade machine learning systems. Experience building and deploying real

Machine Learning models, with a significant focus on reinforcement learning. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judg

The Machine Learning Engineer will play a key role in shaping the company's Al trajectory. MSc in Machine Learning, Computer Science or a related field.

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. Minimum Qual

Principal Machine Learning Scientist. Principal Machine Learning Scientist. Machine learning for search, ranking, recommendations or personalisation.

London, 4 days in office (Shoreditch).Up to £220,000 + Bonus + Compelling Equity.This role is with one of Dex’s trusted partner companies.We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity and g

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects.

Principal Machine Learning Scientist. Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Principal Machine Learning Scientist (Experiences).

Higher is partnering with a leading defence-tech company to hire a Machine Learning Engineer.

The opportunityWe are seeking an exceptional Machine Learning Scientist who combines strong ML fundamentals with a deep understanding of biological data, to help build the next generation of generative and predictive models of cellular behaviour. A PhD in machine learning, computer science, statisti

You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learning models to production.

You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. Principal Machine Learning Scientist. Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.

Our client, one of the most established names in their sector, are on the lookout for a Director of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability.

Drive the actual productionization of LLMs and machine learning to solve significant cybersecurity pain points - your work will directly protect organizations from real threats, not just optimize internal metrics. As ML Engineer at Maze, you'll be the technical leader driving our machine learning in

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. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. We are see

Lead Machine Learning Engineer - Risk Decisioning Office: United Kingdom Remote:Spain | UK Apply for this role. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learn

Research Engineer, Machine Learning (RL Velocity). This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferenc

Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

Principal Machine Learning Engineer. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real‑time insights and personalised experiences for millions of fans. Lead the end‑to‑en

Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator.Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text.Create yourself, imagine someone new, or choose from thousands of characters to sha

Machine Learning models, with a significant focus on Reinforcement Learning. Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles. Computer Science, Machine Learning, Artificial Intelligen

Experience with machine‑learning frameworks (PyTorch, TensorFlow, JAX). Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents. Experience with reinforcement learning techniques and environments.

We believe autonomy represents a once‑in‑a‑generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human‑driven vehicles to intelligent machines. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving a

You will contribute to advanced AI research projects by applying your expertise in frontier machine learning, helping improve the reasoning, learning, and problem-solving capabilities of next-generation AI systems. PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely rela

This is a great opportunity for someone who enjoys taking ML out of the lab and into production, working across software engineering, machine learning and cloud infrastructure. Strong understanding of the machine learning lifecycle. Strong understanding of the machine learning lifecycle.

You will contribute to advanced AI research projects by applying your expertise in frontier machine learning, helping improve the reasoning, learning, and problem-solving capabilities of next-generation AI systems. PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely rela

Define and execute the long-term vision for enterprise data infrastructure and machine learning systems to ensure long-term scalability. Demonstrated track record of building and managing high-performing engineering teams in data engineering, platform, or machine learning spaces. Hands-on experience

Machine Learning Scientist | AI for Energy | Hybrid. We're working with an innovative AI company that's transforming the energy sector through cutting-edge machine learning and advanced modelling techniques. Strong experience in Machine Learning and Python.

Research Engineers at Relation are software engineers with a deep understanding of machine learning and deep learning, acting as a critical bridge between theory and implementation: designing, building, and scaling the complex systems on which our ML research depends. Relation is offering an outstan