We are actively searching for a talented and experienced Machine Learning (ML) Engineer to join our team.As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems.In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles.Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning.RequirementsProven experience as a Machine Learning Engineer or similar roleUnderstanding of data structures, data modeling and software architectureDeep knowledge of math, probability, statistics and algorithmsAbility to write robust code in Python, Java and RFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Ability to work in a teamOutstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics or similar field; Masters degree is a plusResponsibilitiesStudy and transform data science prototypesDesign machine learning systemsResearch and implement appropriate ML algorithms and toolsDevelop machine learning applications according to requirementsSelect appropriate datasets and data representation methodsRun machine learning tests and experimentsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryExtend existing ML libraries and frameworksKeep abreast of developments in the field

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The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality.

Key Responsibilities

• Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards.
• Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services.
• Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation.
• Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments.
• Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components.
• Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements.
• Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs.

Knowledge, Skills & Experience

• Degree in Computer Science, Data Engineering, or a related field.
• Proven experience designing and building cloud-based data platforms, ideally within Azure.
• Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory.
• Solid understanding of Data Lakehouse architecture and modern data platform design.
• Proficiency in Python for data engineering, automation, and data processing.
• Experience developing and integrating REST APIs for data services.
• Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms.
• Experience with Infrastructure as Code tools such as Terraform or ARM templates.
• Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts.
• Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor).

Desirable

• Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps).
• Knowledge of cloud cost optimisation for data platforms.
• Understanding of data governance and regulatory compliance (eg, GDPR).
• Experience working in regulated or professional services environments.

We are seeking mid-level to experienced Embedded Software Engineers to join a dynamic team designing and developing innovative, high-performance software systems. This is a hands-on role, offering the opportunity to work on cutting-edge technology and create solutions that prioritise reliability, scalability, and technical excellence. What you’ll do Develop complex embedded software systems as an individual contributor. Collaborate with cross-functional teams to define functional and non-functional requirements. Create low-level designs, implement software, and perform testing in line with defined architecture. Support adherence to coding standards, best practices, and continuous improvement initiatives. Provide guidance and mentorship to junior engineers. Contribute to technical reviews, bids & proposals, budget and schedule discussions, and customer engagement activities. What we’re looking for 5+ years’ experience in C++, specifically embedded software development. Modern C++ (2017 or newer). Experience with other programming languages such as Python, C#, Rust, or C. Familiarity with version control systems (e.g., Git/GitLab). Strong object-oriented design and programming skills. Experience with development methodologies such as Agile, Waterfall, or V-model. Degree or equivalent experience in Computer Science, Software Engineering, or a related field. Sole British nationals (due to security cleraance requirements). Benefits Competitive salary with sign-on bonus. Flexible or part-time working arrangements on request. Relocation support available. Half-day finish on Fridays. 25 days holiday (plus bank holidays), increasing with service, with option to buy/sell. Private medical insurance (optional family cover). Life assurance and group income protection. Flexible extras including healthcare cash plan, dental insurance, gym membership, cycle-to-work scheme, and electric vehicle scheme. Employee assistance program for mental health and wellbeing support. TT

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

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

What you'll be doing: As a Senior Full Stack Developer (with front-end focus), you’ll be responsible for: - Building solutions to problems (especially solutions with a heavy front-end focus) - Design of the solution (in conjunction with Product Managers and/or other colleagues) - Helping colleagues facing issues with front-end development Day-to-day life on the Product Development team looks like: - Most of your time will be spent designing and building solutions. - For our tech stack we use: - Django/Django REST Framework/Postgres for backend, - Angular for our web application, - Flutter for our mobile application (replacing our current Ionic/Angular app later this year), - and for infrastructure we use AWS ECS/ECR, Aurora and Lambda. - For design, it’s quick brainstorming, a bit of analysis, sketching on paper or Figma, and/or jotting down a short design doc in Google Docs - A chunk of time is spent on understanding issues, users and our platform. This includes talking to ops colleagues. We take turns answering ops support requests It’s fast paced. We’re light on overhead and don’t outsource quality to a QA team. Quality, maintainability and security start at the design stage and are everyone’s responsibility. We run 2-week sprints. Each day starts with a daily 15-minute standup and then it varies a lot from there. The issues vary from sprint-to-sprint. It’s typically very user focused, but we do make time each quarter to do unsexy important stuff (refactor, pay down technical debt, database upgrades, etc). It’s not a solo effort. While we maximise the time you must put your head down and get on with cracking a problem, we grab each other for help every day. And we do peer review of design and code, while building and deploying to production regularly. If you like having a holistic view of the product (from idea to release to growth), rather than being highly specialised in one niche, you'll probably enjoy this role. What we're looking for: - General characteristics - You like solving real problems. When you make something, you make it to solve someone’s issue. You understand the issue and the person facing it. You put in a bit of extra effort to make it a good experience for the user - Uncertainty is a fun problem to figure out, rather than an annoying headache. When you don’t know the answer, you try something. You experiment. You dig. - You’re a clear concise communicator. When writing or speaking, you know which details to prioritise - KISS is important to you. You have an instinct for when a solution is too complicated for the problem - You know how to learn and skill up. When faced with a novel skill area, you can self- critique your level and push yourself to improve - You reside in the UK and don't need visa sponsorship - If you don’t live near Oxford, you are able to travel and work in our office in Oxford for a few days each quarter - Specific characteristics for this role - Taken multiple features from idea to release to growth - Having spent meaningful time as part of different teams (we’d prefer at least 6 years as a developer) - Deep front-end experience, including responsive design, for consumer facing businesses - Design sense for UX/UI. Not just writing code. May have done wireframes before. - Can look at an interface and tell if it is terrible or not - Some experience working on backend (e.g. building APIs, database design, etc) - Some experience with CI/CD or deployments in general - Ideally, some experience in an agency (for consumer facing apps) and/or early-stage consumer facing startup - Bonus points if you have experience of mobile development, whether native or through a cross-platform framework like Flutter/React Native/Ionic