Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Job Title: Senior Clean Water Modeller

Salary: £55,000 - £65,000/year

Location: Fully remote

Contract Type: Permanent, Full Time

Hours: 37

About the role

We are looking for an experienced Senior Clean Water Modeller with expertise in InfoWorks WS Pro to support the development and application of clean water distribution models. You will play a key role in strategic planning, operational optimisation, leakage reduction and regulatory compliance across potable water networks.

What you will be responsible for:

• Lead the development, maintenance and calibration of clean water hydraulic models using InfoWorks WS Pro.
• Validate models against telemetry, logger and flow/pressure test data.
• Conduct scenario modelling to assess network performance under normal and stress conditions.
• Support operational teams with real-time and predictive modelling for pressure management and resilience.
• Provide modelling for investment planning, including mains reinforcement, DMA creation and growth impact.
• Simulate water quality parameters such as water age, chlorine decay and booster performance.
• Mentor junior modellers and contribute to modelling standards, QA/QC and workflow automation (Python, SQL).
• Prepare and present reports and visualisations for internal and external stakeholders.

What youll bring to the role:

Essential:

• Understanding of water and wastewater engineering within the UK Water Industry.
• Degree (MEng/BEng/BSc) or HNC in Engineering, Environmental Science or related field.

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week. We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you! We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation. To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

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

Job Specification: Data Scientist – Pricing Modelling Overview We are seeking a highly skilled Data Scientist with proven experience in pricing modelling within the sports industry. The ideal candidate will be responsible for building, optimising, and deploying data-driven pricing models that help maximise revenue, improve forecasting accuracy, and support strategic commercial decisions. This role will work closely with commercial, product, finance, and analytics teams to deliver impactful insight and pricing recommendations. Key Responsibilities Pricing Modelling & Analytics - Develop, own, and optimise dynamic pricing models across sports products (tickets, memberships, hospitality, broadcasting, merchandise, or gaming—depending on organisation). - Build predictive models for demand forecasting, elasticity analysis, and customer behaviour. - Run simulations and scenario modelling to guide pricing strategy. - Maintain model accuracy through performance monitoring, retraining, and back-testing. Data Science & Engineering - Work with large datasets from multiple sources including ticketing systems, CRM data, sales systems, attendance data, and third-party partners. - Build robust data pipelines and ensure high data quality and reproducibility. - Deploy models into production environments (e.g., via APIs, automated workflows, or BI tools). Insight & Strategy - Translate modelling outputs into clear commercial recommendations for non-technical stakeholders. - Present findings to senior leadership, supporting decision-making with evidence-based insight. - Collaborate with marketing and commercial teams to understand demand drivers and pricing levers. - Evaluate the impact of pricing changes and provide post-event analysis. Innovation - Explore new modelling techniques such as reinforcement learning, dynamic optimisation, or real-time price adjustment. - Stay current with trends in sports analytics, pricing science, machine learning, and demand forecasting. Required Skills & Experience - 3+ years in data science, analytics, or econometrics roles (pricing strongly preferred). - Strong experience with pricing models, demand forecasting, price elasticity, or dynamic pricing algorithms. - Proficiency in Python (Pandas, NumPy, Scikit-Learn; bonus: PyTorch/TF). - Experience using SQL and working with relational databases or cloud data warehouses. - Solid statistical knowledge: regression modelling, time series forecasting, Bayesian methods, optimisation techniques. - Experience deploying models to production (e.g., Docker, cloud platforms, CI/CD pipelines). - Ability to design and interpret A/B tests or controlled experiments. - Excellent stakeholder communication skills, especially with commercial teams. Desirable Skills - Experience in the sports industry (ticketing, memberships, fan behaviour, sports betting, E-commerce). - Familiarity with sports-specific datasets or pricing environments. - Knowledge of BI tools (e.g., Looker, Power BI, Tableau). - Understanding of revenue management principles (yield management, inventory controls). - Background in applied mathematics, economics, statistics, or a related field. Personal Attributes - Commercially minded with a passion for applying data science to real business problems. - High attention to detail with strong analytical rigour. - Able to manage multiple projects and work in fast-paced environments. - Curious, proactive, and comfortable challenging assumptions with data. What We Offer - Opportunity to shape a cutting-edge pricing strategy in a high-growth sports environment. - Close collaboration with data engineers, analysts, commercial teams, and leadership. - A culture that values experimentation, innovation, and data-driven decision making. - Professional development opportunities across data science, engineering, and sports analytics.

DATA ANALYST

CONTRACT INSIDE IR35

LONDON, 2 DAYS ONSITE

Description

A proficient specialist who applies mathematical, problem-solving, and coding skills to manage data, extracting valuable insights, designing tailor-made solutions from data, aiding our business in achieving unique objectives and goals.

Reporting to the Head of Customer Operation, key accountabilities include:

• Undertaking data collection, preprocessing and analysis
• Building models to address business problems
• Presenting information using data visualisation techniques
• Support in the delivery of the charging, data and reporting services for the Customer Operations department.
• Work collaboratively with the Customer Service Manager and peers within the Customer Management Team on the delivery of the team and departmental strategies.
• Identify valuable data sources and automate cleansing processes
• Undertake preprocessing of structured and unstructured data
• Analyse large amounts (several million records) of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling
• Present information using data visualisation techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Skills

• Sql
• Data
• Power Bi
• Python
• Data analysis

Job Title: Data Analyst

Location: London, UK

Rate/Salary: 150.00 - 200.00 GBP Daily

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as “Allegis Group”). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the “Contacting Us” section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Instrumental Raman Spectroscopist UPLiFT Salary: £41,344 - £45,479 per annum | 3 Years Fixed-term Contract | Full-time | Closing date: 23rd November 2025 Location: Science and Technology Facilities Council, Rutherford Appleton Laboratory Harwell, Oxfordshire OX11 0DE Come and discover the kind of impact you can make when you work with some of the best facilities and brightest scientists in the world. As part of the Science and Technology Facilities Council (STFC) the Central Laser Facility (CLF) contains many state-of-the-art laser systems and experimental stations, along with expert scientists, engineers and technicians that work with academic and industry users to deliver science across a broad range of fields. We have around 200 staff and are a very friendly, outgoing, externally facing department. We have a welcoming and inclusive culture, and you will find that people will naturally help and support you. About the role The position is to participate in a research project to develop a novel concept combining Spatially Offset Raman Spectroscopy (SORS) and ultrasound for enhanced chemically specific imaging deep inside biological tissue. The full-time position is funded through a recently awarded EPSRC grant for three years. The concerned work will take place at the Central Laser Facility, STFC Rutherford Appleton Laboratory in Oxfordshire, UK and involves close collaboration with the University of Exeter (Prof. Nick Stone). This post will be part of a team of leading scientists working to develop novel solutions to solve clinical needs in patient specific diagnosis and treatment of cancers. Specifically, we seek a postdoctoral research scientist to focus on the development of instrumentation comprising both SORS and Raman technology. Expertise in vibrational spectroscopy is essential. The post will include design, construction, optimisation and day-to-day operation of the instrument. The study will be performed on excised tissue and optical phantoms. The applicant will have experience with data analysis of vibrational spectra. The successful applicant will be able to present information on research progress and outcomes, communicate complex information orally, in writing and electronically and participate in the preparation of proposals and applications to external bodies. A suitable candidate will be a PhD graduate (or near completion) in any of the natural sciences. The candidate will benefit from working in a vibrant internationally leading research environment. Advanced training and researcher development will be provided as part of the programme. Main duties and accountabilities To undertake research to develop the novel analytical instrumentation, including optical design. Writing up research work for publication. Making presentations at national and international conferences and similar events. Dealing with problems which may affect the achievement of research objectives and deadlines. Analysing and interpreting the results of own research and generating original ideas based on outcomes. Using new research techniques and methods. Using initiative and creativity to identify areas for research, developing new research methods and extending the research portfolio. To monitor research budgets as appropriate. To maintain safety in their research environment. Engaging in continuous professional development. Person Specification The following criteria will be assessed at Shortlisting (S), Interview (I) or both (S&I) A PhD in natural sciences (or within 6 months of completion), or equivalent experience. (S) Experience in using vibrational spectroscopy (Raman or IR) and associated data analysis. (S&I) Hands on experience in developing/aligning vibrational spectroscopy instruments (Raman or IR). (S&I) Having a proactive approach to work and to be able to use initiative to work within a scientific environment. (I) Able to work independently and as a part of a team. (S&I) Able to work to tight deadlines. (S&I) Safety awareness. (I) Excellent interpersonal skills, including communication, both written and oral. (S&I) Additional Information Further information is available from Prof. Pavel Matousek (). Our Benefits UK Research and Innovation recognises and values employees as individuals and aim to provide a pay and rewards package that motivates staff to perform to the best of their ability. The reward package includes a flexible working scheme, Defined benefit pension scheme, 30 days annual leave allowance plus 10.5 bank holiday/privilege days and several other benefits. We ask some of the biggest questions in the universe, to answer some of the biggest challenges in the world. Whatever our role, we have the freedom to explore, learn and connect, as part of a community that loves to share knowledge and support one another. As one of Europes largest research organisations, this is a place where theres always something new to learn about the world around us, about your career, but most of all, about yourself. Join us and discover whats possible! Please note, if you will require sponsorship to work in the UK, as part of your sponsorship application, you and any dependants travelling with you, will be required to pay costs directly to The Home Office for the application before you start your role with us. UKRI is normally able to reimburse some, or all of these fees after you have become an employee and this can be discussed with the Hiring Manager. For more information, please visit https://www.gov.uk/skilled-worker-visa/how-much-it-costs or contact