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Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000 Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

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.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

About the job Job summary Senior DevOps Engineer Are you passionate about collaborative working and problem solving? Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability? Are you looking for a new role in an organisation that treats you as an individual and supports you on your professional and career development journey? Then this is the role for you! We have an exciting opportunity for a DevOps Engineer, within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Working Style This role will be carried out in-line with IP O Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: • Support all aspects of the software development lifecycle, applying DevOps principles and to lead on developing, implementing, enhancing and managing DevOps practices following agreed processes and best practices., • Applying industry best practices and patterns across infrastructure and application components e.g. availability, security, performance and scalability., • Leading on the design, release and implementation of automated, repeatable, efficient delivery pipelines and holds responsibility for the management, delivery and improvements of the deployments onto Production., • Lead delivery, integration, administration and configuration of DevOps tools, seeking continual improvement and ensuring effective transition onto operational support (where applicable). This includes tools for source control, build, CI & CD support, code reviews, security scans, test automation, monitoring and agile management etc., • Implementing and configuring DevOps specific monitoring, alerting, auditing and notification strategies and be an advocate for security and performance standards in the organisation, • Contributing to technical decisions and directions in a collaborative team environment, including solution architecture, estimations, product planning, user stories (requirement) creation., • Attending Team and Agile Scrum ceremonies., • Sharing knowledge and expertise and providing mentorship and training to other members of the team, enabling them to work in an automated, repeatable fashion., • Strong understanding of DevOps principles and experience of working in a DevOps or iterative development culture., • Excellent knowledge and proven experience implementing continuous integration (CI) and continuous deployment (CD) tools, including pipeline design and administration., • Experience with automated testing and embedding this in CI/CD pipelines., • Demonstrable experience in service support including troubleshooting and incident resolution., • Experience in identification and tracking of risks and issues., • Substantial development or scripting experience in one or more of the following:, • Python, • Bash, • PowerShell, • Substantial experience in administration and configuration of Azure DevOps Pipelines (preferred) or other CI/CD orchestration tools., • Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent:, • Python, • Net Core / C#, • NextJs / Node frontend, • Experience with Infrastructure as Code such as Terraform, • Experience in containerisation technologies and platforms such as Docker or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent., • Experience in managing and supporting distributed source code repositories (Git)., • Changing and Improving, • Making Effective Decisions, • Unlimited Pluralsight video learning access, • Access to Microsoft's ESI training suite, • Hybrid working with no core hours, • Substantial support for career progression, • 25 days annual leave moving to 30 days in annual increments, • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window), • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020

Complete online training designed to take you from beginner level to your first AI Engineer role. AI Engineer Programme – Job Support Included. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases.

We are seeking a dedicated Machine Operator to join our client's production team based in BD12. The ideal candidate will be responsible for setting up and operating production machinery, with opportunities for learning and progression within the role. THE ROLE: • Set up and operate production machinery in a fast-paced environment., • Monitor machinery performance and make necessary adjustments to ensure efficient production., • Follow safety and quality standards during all operations., • Collaborate with team members and supervisors to meet production goals., • Participate in training to advance knowledge and skills in machine operation. THE CANDIDATE: • Previous experience in production or machine operating is essential., • Familiarity with computerized controls and machinery., • Ability to work both day and night shifts (12-hour rotating shifts) including Saturday days and Sunday nights., • Strong attention to detail and commitment to quality. THE HOURS AND BENEFITS: • Rotating 12-hour shifts, with a maximum of 4 shifts per week., • Shift patterns may include daytime and nighttime work, particularly on weekends., • During quieter periods, substantial time off between shifts will be available, while maintaining a full-time salary through annualised hours., • Pay rate of £12.21 per hour for day shifts, with a 10% premium for night shifts., • Overtime opportunities available during busy periods., • Full-time annual salary with payment stability after 12 weeks of weekly pay through the agency. At Cogent Staffing, we are committed to ethical recruitment practices and fostering an inclusive workplace. We actively encourage applications from all qualified candidates, regardless of race, gender, disability, religion or belief, sexual orientation, age, or any other characteristic protected by law. We believe that diversity enriches our teams and enhances our ability to serve our clients effectively. We ensure that our recruitment processes are fair, transparent, and free from bias, promoting equal opportunities for all applicants

We have an exciting opportunity to join us here at Covéa Insurance as a Pricing Manager , within ourPricing Technical Modelling Team! This is a hybrid position, combining the best of both worlds - working from home and spending time in our Halifax office. At Covéa, balance matters. We know life is busy, so were open to flexible hours, different working patterns, and arrangements that fit your circumstances. Many of our colleagues already work flexibly and were always happy to explore what works best for you. At Covéa Insurance , were all about protecting what matters most - whether its your home, your car, or your business. With our award-winning customer service and a wide range of insurance products, were here to make a real difference. In this role, youll be working in a team where you will be focusing on the delivery of our key strategic objectives . Step into a role where your potential is valued and your growth is supported. What does a day-to-day look like? Collaborate with the Senior Pricing Manager and senior stakeholders to implement modelling and rating changes that enhance loss ratio, risk selection, and business growth. Lead and develop a diverse team of pricing specialists within the Technical Pricing Department, ensuring capability progression, alignment with company values, and a culture of continuous improvement and agility. Strengthen pricing capabilities by establishing best-practice methodologies, governance frameworks, and robust controls. Leverage internal and external datasets including broker-specific data to enhance predictive pricing models and support profit and growth objectives. Represent Pricing as a subject matter expert in key forums, providing technical guidance and translating complex information for non-technical stakeholders. Maintain expertise in Pricing and Data Science tools (e.g., WTW Radar, SQL, Python, Databricks) while staying current with market and technological trends to drive innovation and optimise pricing infrastructure. What will help you stand out? Demonstrates excellent numerical and analytical skills with strong attention to detail and accuracy. Possesses expert understanding of predictive modelling and machine learning techniques relevant to technical rating for motor and home insurance products. Shows exceptional critical thinking ability, intellectual curiosity, and strong problem-solving capability. Communicates effectively and builds strong interpersonal relationships across teams and functions. Self-motivated leader with the ability to manage, develop, and support individuals and teams while remaining effective under pressure; collaborates confidently with senior stakeholders and adapts to evolving business needs in a competitive market. Holds a minimum 2:1 bachelors degree (or equivalent) in a numerical discipline, or equivalent experience; brings project-management skills (advantageous) and a commitment to continuous learning in analytics, data science, AI, and emerging technologies. Not sure if you tick every box? Thats okay! At Covéa, we understand that not every candidate will meet every requirement listed. If this opportunity excites you and you feel you could be a great fit, we warmly encourage you to apply. We are committed to building a diverse and inclusive team where everyone has the chance to thrive. Why join us? Flexible working 36.25 hours a week with flexitime & hybrid options Annual pay review Plus performance bonuses (up to 30% depending on level) Generous holidays 2527 days + bank holidays, with buy/sell options Pension perks 7.5% employer contribution, rising to 9% with your input A culture where everyone belongs We're committed to diversity, equityandinclusion, with real action, employee-led community groups, and ongoing learning to make Covéa a place where everyone can thrive Mental & financial support Through our dedicated Wellbeing group Career growth Training, qualificationsandapprenticeships to help you thrive Health & wellbeing Private medical cover, 24/7 Virtual GP, health checks, flu jabs & more Drive in style Tusker Car Scheme with fully maintained insured vehicles Extra savings Gym discounts, Cycle to Work, and retail offers viaPerkpal And much more ! Excited about this opportunity? So are we! Apply today and be part of our journey. As a Disability Confident Employer, were committed to fair and accessible recruitment. If you need any adjustments,supportor alternativeapplication optionsduring theRecruitmentprocess,thenplease reach outto our Recruitment Team. Applicants must currently reside in the United Kingdom and possess full and unrestricted right to work in the UK. Unfortunately, we are unable to offer Visa sponsorship for this role. 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 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

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

We're looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. Develop, train, and optimise machine learning models to support business and technical objectives.

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. This role is essential for maintaining the stability and performance of their core data and Machine Learning systems.

Senior Data & Machine Learning Engineer. Senior Data & Machine Learning Engineer.

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

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,

Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks. Proven experience building and testing machine learning algorithms. We’re looking for a Machine Learning Research Engi

Machine Learning Engineer – Edge Deployment / Integration.

Junior Data Scientist/Junior Machine Learning Engineer. Experience Developing Machine Learning / Data Science models, from coding to deployment. Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc.

Contract Machine Learning Engineer.

Staff Machine Learning Engineer – | 3 Roles | UK Remote.

Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e. Strong background in machine learning and ML engineering. Machine Learning Scientist (Contract → Full-Time Potential).

Machine Learning Research Engineer,. Designing novel algorithmic and machine learning approaches to interpret complex scientific data. Experience in machine learning (research or applied).

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

TTC Group is seeking an experienced Machine Learning Engineer to join a high-impact programme with a leading retail client in the UK. Machine Learning / MLOps engineering.

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. As Machine Learning Engineer (NLP), you will be responsible for:. Machine Learning Engineer (NLP).

Research Associate in Machine Learning (SS13519) - Bath, BA2 7AYAbout the roleThis project will develop new machine learning techniques to enable efficient production of bespoke products, such as medicines in a high-volume, high-variation manufacturing setting. Relevant areas of research include rei

Senior Machine Learning Engineer (Python TensorFlow) 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 produc

Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases.

Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases.

Senior Machine Learning Engineer. Lead the algorithm selection, design, and prototyping of machine learning models to solve complex business problems, including recommendation, personalization, and predictive analytics. Apply expertise in statistical modeling and machine learning to perform deep dat

As a Machine Learning Scientist within the Rosalind team, you will design and apply advanced machine learning techniques to DNA and genetic data. Develop and apply sequence modelling machine learning techniques to DNA sequences. A PhD in machine learning, computational biology, or a related field, o

You think in time series, signals, and regimes.You care about insight quality, not academic purity.You want your models tested by markets, not papers.If you dislike messy data and real-world constraints, this is not your role.You will build quantitative and ML-driven insight systems using structured

Olive Jar Digital is seeking a Machine Learning Engineer to help design, build, and refine AI prototypes across multiple Discovery and Alpha initiatives.

The goal of the Audio Machine Learning Research team is to develop novel AI‑powered audio processing algorithms. As part of the team, you will work with experts in machine learning (ML), digital signal processing (DSP), software engineering and psychoacoustics to prototype and implement new algori

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