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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.

Your new company Our client is a small, specialist team focused on delivering a wide range of high-quality IT solutions. The team currently consists of two people, and you will report directly to the Director, working in a collaborative yet autonomous environment. Your new role We are seeking a Full-Stack Web Developer with strong backend expertise to support the design, development, and delivery of data-driven web applications. This role combines modern web engineering with analytical and automation workflows, working closely with technical and non-technical stakeholders to deliver robust, scalable systems. A strong emphasis is placed on clear, consistent documentation across all workstreams. Most of your time will be allocated to specific projects or client engagements, although you will also contribute to internal research and development initiatives that support our client's technical growth. When assigned to a client, you will act as the primary technical point of contact, leading deliveries and coordinating consultations with stakeholders to ensure outcomes are aligned with project goals. This role includes travel to Wroxham once per week as part of project and client work. Key Responsibilities: • Design, develop, and maintain full-stack web applications using Python and Django, • Build, consume, document, and maintain REST APIs to support internal platforms and analytical workflows., • Develop responsive front-end interfaces using JavaScript, HTML, and CSS, • Manage and optimise PostgreSQL databases, including performance tuning and data analysis, • Deploy and maintain applications in Linux and Docker environments, • Ensure all development work, systems, processes, and codebases is clearly documented to support maintainability, knowledge sharing, and operational continuity, • Collaborate with cross-functional teams to integrate analytical outputs and evolving system requirements, • Support project delivery planning, prioritisation, and continuous improvement initiatives, • Django, Python, PostgreSQL, • JavaScript, HTML, CSS, • R / Shiny, • Docker, Linux, • Strong full-stack web development experience with emphasis on backend engineering, • Python and Django framework expertise, • REST API design and integration, • Front-end development with JavaScript, HTML, and CSS, • Advanced PostgreSQL knowledge, including performance optimisation and data analysis, • Experience working within Linux environments, Docker containers, and Git workflows, • Experience using R in conjunction with REST APIs, • Development and maintenance of Shiny applications, • Supporting or deploying AI and machine learning workflows in production environments, • Strong project management awareness and delivery planning capability, • Ability to balance operational priorities with longer-term technical improvements, • Clear, confident communication with both technical and non-technical stakeholders If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Manufacturing Supervisor (Machines) Our prestigious manufacturing-based client, based in Norwich, are seeking a Manufacturing Supervisor to join their team. This is a full time role working Monday Friday 38 hours per week. Knowledge, Skills & Qualifications: HNC or NVQ level 4 in an Electro-mechanical discipline Experience supervising teams in a manufacturing environment, ideally in machine or electro-mechanical assembly. Strong understanding of engineering drawings, wiring diagrams, and mechanical/electrical assembly practices. Continuous Improvement qualification (e.g. Lean, Six Sigma) Desirable IOSH Managing Safety Desirable Experience with ERP/MRP systems and production reporting. Desirable Background in low-volume, high-complexity machinery builds or precision assemblies. Desirable Proven ability to lead, motivate, and develop production teams. Strong organisational and problem-solving skills with the ability to react quickly to changing priorities. Working knowledge of Lean manufacturing principles and continuous improvement methods. Excellent communication and stakeholder-management skills. Strong supervision skills Team Leadership, encouraging active and positive contributes to collaborative working Maintains confidentiality Position Overview The Manufacturing Supervisor will supervise a team responsible for both electrical and mechanical machine assembly operations. This role ensures that production output meets safety, quality, delivery, and cost targets while fostering a culture of continuous improvement and high team performance. The Supervisor will oversee day-to-day shop-floor activities, coordinate workflow, support technical problem-solving, and ensure adherence to assembly standards, engineering specifications, and operational procedures. Key Performance Indicators Manufacturing Efficiency KPIs (set-up, run, waste, costs etc). On-time to Plan manufacture complete and picked for shipment. Inventory Accuracy. E1 Transactional Accuracy. Quality Complaints. Safety Incident Rate. Quantity of near miss reports. Key Accountabilities Quality and on-time manufacture of machine products manufactured in Norwich. Direct and motivate the manufacturing team. Support training and upskilling of assemblers, including competency assessments and cross-training. Ensuring all EHS standards and policies are adhered to and that the safety culture is actively promoted Ensuring all BRCGS standards and policies are adhered to. Conduct daily briefings , allocate work, and ensure appropriate resource coverage across shifts. Oversee the assembly of machinery, sub-assemblies , and electro-mechanical units to engineering drawings, wiring diagrams, and build specifications. Monitor workflow and production schedules to ensure on-time delivery and adherence to schedule. Ensure metrics and targets are clear using Visual Management across the department. Coordinate with Supply Chain, Engineering, and Quality, to resolve constraints and ensure smooth operations. Ensure compliance with manufacturing processes, standard work, and assembly documentation. Enforce quality standards and ensure first-time-right output. Conduct in-process inspections and support root-cause analysis for defects or rework issues. Maintain compliance with ISO, safety, and regulatory requirements. Support implementation of engineering changes and ensure documentation is updated and followed. Identify and implement improvements using Lean tools such as 5S, Kaizen, standard work, and waste reduction. Analyse production data to uncover trends, bottlenecks, and opportunities for efficiency gains. Champion continuous improvement behaviours and empower the team to contribute ideas. Promote and enforce a strong safety culture and safe working practices. Ensure risk assessments, method statements, and equipment checks are up to date. Lead incident investigations and implement corrective actions where required. Abide by all statutory requirements and adhere to and promote all company policies and procedures including (but not limited to) those relating to HR, quality, food safety, environmental, and health and safety. Undertake any other reasonable duties as directed by the line manager. This job role requires use of the E1 platform to perform certain processes. Therefore, the job holder must: follow the agreed process within E1 and not deviate from, bypass or circumnavigate the E1 system in anyway (unless formally approved by their line manager/LG) to perform these tasks complete all assigned E1 training modules in the Learning Management System (LMS) relating to their assigned E1 Learning Plan Manufacturing Supervisor be formally signed off, by their Line Manager, as competent before access to the live E1 environment is granted. Company benefits: Auto enrolment pension after 3 months, employees cont. 2.5% employers cont. 10% Annual leave starts at 24 days per year, increase 1 day per year for 4 years up to 28 days, 10 years increase to 30 days Wellbeing days Family Summer Day Christmas Party Pantomime Employee excellence awards Peer recognition programme One Good Apple After successful 6-month probation Option to join Private Healthcare Insurance, taxable benefit Companywide profit share scheme, potentially dependant on company profit after one year passed probation Free refreshments, tea & coffee on site Free fruit Wednesdays Access to an EAP, which also covers immediate family members Access to fully trained mental health first aiders For further details regarding this great opportunity, please email a copy of your CV today. Todd Hayes Ltd is an equal opportunities employer. Due to the large number of applications, we receive Im afraid we are unable to respond to everyone individually however your details will remain on file should another suitable opportunity become available moving forward. Todd Hayes is acting as an Employment Business in relation to this vacancy. Todd Hayes Ltd TPBN1_UKTJ

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...

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

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:.

Experience in machine learning (research or applied). If you’re looking for a role where you can take responsibility, build from first principles, and apply machine learning to genuinely complex scientific problems, this could be your next move. We’re working with an early-stage deep tech compan

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

The Role – Head of Machine Learning. Good experience in Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years. 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 Sa

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

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

We are looking for a Machine Learning Engineer (Mid or Junior level) to help us explore and implement novel approaches to help mitigate climate change. You will be applying the latest developments in machine learning to reduce the effects of climate change, and helping turn viable approaches into re

We are seeking a strategic and technically strong.Reporting directly to the CTO, you will define and execute the end-to-end AI strategy — from identifying cutting-edge research opportunities to prototyping advanced capabilities and integrating them into production systems.This is a unique opportun

You'll also assist our team in the design and development of machine learning processes in a variety of client environments. Support the management of infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production. AI solutions, training, eva

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

Senior Machine Learning Systems Engineer.

Integrate existing machine learning frameworks and libraries into the platform and open‑source framework, providing a range of algorithms, environments, and tools for reinforcement learning model development. As a Machine Learning Engineer, you will be responsible for designing, implementing, and

You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. I

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and c

Experience leading teams to deliver production machine learning solutions. Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn. Lead the development and maintenance of machine learning models to solve complex business problems

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.

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?. Senior Machine Learning Engineer. In this role, you will design, develop, and deploy machine learning a

Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution devel

Design and develop models for portfolio optimization, recommendation systems, propensity models, lead scoring, time series forecasting, and risk analysis using a combination of classical statistical methods, machine learning algorithms and novel deep learning algorithms. Stay at the forefront of AI

Applied Machine Learning Engineer, Developer Publications. London, England, United Kingdom Machine Learning and AI. Experience with Machine Learning, with a particular focus on Large Language Models (LLM) that generate code.

Build and maintain Machine Learning and advanced analytical platform components. You have professional experience in leading the development of Machine Learning components. Elasticsearch - Machine Learning team.

ML and deep learning libraries (e. Passion for learning and adopting a wide range of techniques in an agile environment.

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.

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

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.

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, and secure ML solutions across the organisation. Professional experience as a Machine Learning Engineer, ideally with exp

Research, design and deliver machine learning solutions to improve our recommendations. Solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow. At Depop, machine learning is integral to delivering a personalised experi

GANs, diffusion models, transformers/LLMs), and a proven track record of applying them to deliver impactful product solutions* Able to stay up-to-date with research and are excited about prototyping new ideas quickly* Strong management and mentorship skills, fostering a collaborative and innovative

Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows. Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience. Computer Science or rel

Machine Learning Engineer – Deliveroo Ads. In this role, you’ll enable high-quality machine decision-making to maximise ad relevance, performance, and revenue for our global partners. High standards, collaboration, flexible working and continuous learning.

ML and deep learning libraries (e. Passion for learning and adopting a wide range of techniques in an agile environment.

Solid understanding of machine learning concepts, familiarity with frameworks such as Transformers, PyTorch or TensorFlow. Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry‑scale problems. Depop is looking for a dedicated Machine Learnin

The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Deep expertise

We are a technology-focused company applying modern machine-learning techniques to problems in molecular science and early-stage drug discovery. The team brings together experience in machine learning, software engineering, and the life sciences, and collaborates closely with internal scientific tea

Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as pr

Senior Machine Learning Engineer (Level 2/3). Senior Machine Learning Engineer (Level 2/3).

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. Lead the technical strategy for machine learning applications in structur

Strong background in data science and machine learning research. Data Science, Machine Learning, Research and Development, Algorithms, Python, Stakeholder Engagement. Working as part of a small, well-funded research group within a growing area of the business, this team delivers innovative data scie