Trabajos machine learning en LeedsCrear alertas

• Have you previously served in the military, blue light services or currently as a serving reservist or military spouse?, • Do you have demonstrable experience in Data, Analytics, or related technology roles? Since 2012, FDM’s Ex-Forces Programme has provided a next step for over 1,100 people globally, offering opportunities for personnel from all ranks across the three services into a new career in business and technology consultancy. No university degree required. Delivering industry recognised coaching, our Ex-Forces programme provides a soft landing into a meaningful second career as an FDM Consultant with renowned businesses, and in an ever-growing industry. You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. Depending on your background and experience, you could take on the role of: • BI Developer, • Data Engineer, • Data Scientist, • Machine learning Engineer, • Business intelligence and advanced analytics, • Diverse data modelling, engineering and warehousing, • Automation and machine learning There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies. About You Open to UK service leavers, veterans, reservists, former Blue light Personnel and eligible military spouses who have experience in analytical, technical or data-focused roles. Suitable backgrounds include intelligence, signals, cyber, information systems, engineering, operational planning, capability analysis, logistics or technical trades where analysing data, producing reports, working with complex systems or supporting decision-making was part of your role and responsibilities. This programme supports transition into civilian careers in Data and Analytics, with structured training, coaching and no degree requirement. Minimum qualifications • Previous career in the military, blue light services or as a serving reservist, • Experience in service within data analytics, technology or a related field, • A strong aptitude and interest in business and technology as well as data driven problem solving, • Commitment to at least two years of full-time employment with FDM, • Support from the Ex-Forces network within FDM, • Two days per annum allocated to support military charities of your choice, • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Initial upskilling pre-assignment that has been accredited by TechSkills, • Assignments with global companies and opportunities to work abroad FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Do you want to work with the 15th fastest-growing startup in Europe? If so, you’re in the right place. AssetCool is one of Europe’s fastest-growing startups, building the fastest path to more power on the grid. We’re tackling one of the most urgent challenges in the global energy transition: grid congestion. Electricity demand is rising fast; driven by electrification, AI and data centres. While traditional grid upgrades take years, demand exists today. The grid isn’t ready. AssetCool delivers robotic grid upgrades that physically increase the capacity of existing transmission lines by up to 30%, without rebuilding infrastructure. Using advanced robotics and proprietary photonic coatings, we unlock data-centre-scale capacity in weeks to months, not years and at a fraction of the cost and disruption of conventional approaches. Our technology goes beyond capacity. We reduce losses, prevent corrosion, cut corona noise and generate high-value operational data that supports smarter grid operation and maintenance. Our systems are already deployed globally, and we just raised a big funding round from leading energy and climate investors. AssetCool is one of the most innovation-driven companies in the UK energy sector and we’re scaling fast! If you’re ambitious, mission-driven and excited to work on real deployments that strengthen the industry that really matters, AssetCool is where you can make it happen. Role Overview We are seeking a Robotics Integration Engineer to join our multidisciplinary R&D engineering team. This role focuses on integrating mechanical, electrical, and software subsystems into robust, field‑deployable robotic platforms. You will work across the full system lifecycle - from early prototyping and lab integration to field testing and operational deployment - ensuring that complex robotic systems perform reliably in real‑world environments. The ideal candidate is hands‑on, systems‑oriented, and comfortable bridging gaps between hardware, firmware, and software teams. This role is well suited to engineers passionate about turning advanced robotics concepts into reliable, production‑ready systems. Key Responsibilities • Integrate mechanical, electrical, sensing, and compute subsystems into complete robotic platforms., • Lead system‑level integration activities, including bring‑up, debugging, and performance verification., • Interface with mechanical, electronics, firmware, and software engineers to resolve integration issues., • Develop and execute integration, verification, and validation (IV&V) plans., • Integrate sensors, actuators, compute modules, power systems, and communication interfaces., • Perform system troubleshooting across hardware, firmware, and software boundaries., • Support field trials and operational testing, including data collection and issue resolution., • Contribute to system architecture definition and interface specifications., • Produce and maintain system documentation, integration procedures, and test reports. Required Skills & Experience • BSc or MSc in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related field., • 3+ years of industrial experience in robotics, preferably, in field robotics., • Proven industrial experience integrating robotic or electromechanical systems., • Strong understanding of robotics subsystems: sensors, actuators, power, compute, and communications., • Hands‑on experience with system bring‑up, debugging, and fault isolation., • Experience working with embedded systems and low‑level interfaces (CAN, UART, SPI, I2C, Ethernet)., • Familiarity with Linux‑based systems and command‑line tools., • Ability to read and interpret schematics, wiring diagrams, and mechanical drawings., • Experience integrating mobile robots, UAVs, or industrial robotic systems., • Background in deploying robotics systems in harsh or outdoor environments., • Experience supporting lab testing and outdoor/field testing of robotic systems., • Strong documentation and communication skills., • Ability to work effectively in cross‑functional engineering teams. Preferred Skills & Experience • Experience with sensor fusion, perception systems, or autonomy stacks., • Experience with embedded programming and machine learning, C++, Python., • Familiarity with safety‑critical or high‑reliability systems., • Experience in wired and wireless communication for mobile robotics., • Experience working in a startup environment., • Knowledge of EMI/EMC considerations and ruggedised system design., • Experience with test automation, data logging, and performance analysis. Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible to avoid missing out. We are not looking for agency support currently.

Machine Learning Engineer – Edge Deployment / Integration Remote (UK) | Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied ML engineering: Deploying models onto embedded / edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch / TensorFlow Experience deploying models to edge or hardware-constrained systems Familiarity with tools like TensorRT or similar optimisation frameworks Ability to work with customers and adapt solutions to real-world constraints Remote (UK) + client site work Eligible for SC/DV If you enjoy making ML actually work outside of ideal environments - this is worth a look.

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

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.

Major Recruitment have an exciting and rare opportunity available for an experienced Electrical Bias Maintenance Engineer to join a well-established, long-standing packaging manufacturer based in Leeds. This is a fantastic opportunity for a skilled engineer with a strong electrical bias and proven experience within a manufacturing environment.\n\nAbout Our Client\n\nOur client is a highly respected UK manufacturer, operating from modern, state-of-the-art modern facilities. They specialise in delivering innovative, high-quality flexible packaging solutions, including printed packaging, bags, pouches, films, and laminated products for major UK and European brands across food, home, and consumer goods sectors. With a strong heritage and continued investment in technology and people, they remain at the forefront of their industry.\n\nWhat's in it for you\n\nSalary: £40,000 - £46,500 (Depdendent on experience)\nShifts: Rotating (Mon-Fri: 6am-2pm / 2pm-10pm / 10pm-6am)\nImmediate start available for the right candidate\nOn-site canteen facilities\nCompany pension scheme\nCycle to Work scheme\nHealth and wellbeing programme\nGenuine opportunity for progression\nCompany sick pay\nStaff store discounts \n\nAbout the Role\n\nOur client is seeking a skilled electrically biased Maintenance Engineer to join their fast-paced, high-volume manufacturing operation. This is a hands-on, technically engaging role where you'll act as a key engineering contact on shift, driving machinery performance, supporting production, and championing continuous improvement across the site.\n\nYou'll ideally be multi-skilled, with exposure to PLCs and automated systems, and thrive in a preventative maintenance environment. Working alongside an experienced engineering team, you'll play a critical role in ensuring equipment reliability, minimising downtime, and enhancing operational efficiency.\n\nMaintenance Engineer - Day-to-Day Duties\n\nProviding reactive maintenance support to the production operation.\nAssessment, identification, modification and performance of preventive maintenance, scheduled maintenance, modifications, or failures / breakdowns on production and packaging machines / lines, mechanical, pneumatic, hydraulic and electrical.\nEngineering corrective actions to support the Production Line Manager in ensuring that safe product is produced in line with legislation and Quality standards.\nActively identify and implement plans to eliminate unnecessary losses such as cost, waste, and inefficiencies.\nUndertaking fault finding, problem solving and planned and preventative maintenance on plant and equipment to maximise equipment reliability and performance.\nEnsuring compliance with quality and safety standards and controls to ensure all work is carried out correctly and safely.\nIdentify and recommend opportunities for improvements to promote Health & Safety and/or operational efficiency and effectiveness.\nAttend and resolve breakdowns, to ensure minimum down time.\nContinuous improvement of equipment, improving safety, efficiency, changeovers and minimising downtime.\nUndertaking improvements projects to increase machine efficiencies and output.\nReporting on potential breakdowns, maintenance issues, equipment performance, and plant data.\nInstall and commission new equipment when required.\nWorking with PLC's to fault find and repair production equipment.\nCarry out checks and inspection of plant, machinery, and equipment, maximise machine utilisation, decrease cycle times.\nWork closely with the production team.\nGain a wide, in-depth knowledge of the current production facility, equipment and processes.\nResponsibility for the implementation and execution of the factory asset maintenance programme and aimed to eliminate unplanned stops and optimise maintenance cost.\nCarry out proactive and reactive maintenance on electrical and mechanical systems on the companies state of the art production lines in a number of different areas of the business. \n\nHealth, Safety & Compliance\n\nAdhere to and promote safe working practices\nIdentify and report hazards to maintain a safe environment\nAccurately report incidents, near-misses, and maintenance issues\nMaintain high standards of hygiene and housekeeping \n\nSkills & Experience\n\nEducated to a minimum NVQ level 3 (or equivalent) in an Electrical or Mechanical Engineering time served apprenticeship.\n17thor 18th edition wiring regulations is desirable\nWill have knowledge in electrical or mechanical maintenance, within a manufacturing industry.\nHave excellent fault-finding and repair skills.\nDemonstrate strong mechanical comprehension\nHave working knowledge of PLC fault-finding and repair, any programming skills would be of great interest.\nExperience of modern manufacturing techniques such as 5S, LEAN and TPM would be ideal.\nAn analytical mind-set coupled with strong interpersonal and communication skills.\nBe familiar with working to planned and preventative maintenance schedules in a continuous improvement environment.\nBe keen to learn and develop your skills further with a great work ethic and can-do attitude.\nDriving licence and own transport. \n\nPersonal Attributes\n\nProactive, self-motivated, and able to work independently\nStrong communication skills across all levels of the business\nWell-organised with the ability to prioritise workload effectively\nTeam-oriented with a collaborative mindset\nCommitted to continuous learning and development \n\nThis is an excellent opportunity to join a forward-thinking business offering stability, technical challenge, and the chance to make a real impact on operational performance.\n\nWhy Join?\n\nThis is your chance to join a company that values its people, supports career progression, and invests in high standards and continuous improvement. If you're passionate about engineering and ready to bring your skills to a dynamic production environment, this is the role for you.\n\nHow to Apply\n\nSound like the perfect fit? We'd love to see your CV. Please send us your up-to-date CV highlighting your relevant experience. If you're shortlisted, we'll be in touch within 2 working days.\n\nINDMG

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.

Modelling Advancement Lead\n\nDepartment for Transport\n\nApply before 11:55 pm on Sunday 5th April 2026\n\n📍 Location: Birmingham, Leeds, London (Hybrid)\n\n💷 Salary: £57,515 - £62,034 - A Civil Service Pension with an employer contribution of 28.97%\nNational: £57,515\n\nLondon: £62,034\n\n🕘️ Contract Type: Permanent– Flexible working, Full-time, Job share, Part-time\n\n🏆️ Available Positions: 1\n\nWe currently have two modelling teams:\n\n * Modelling Insights (MI): This team leads the development of national transport models that estimate travel demand and road traffic. They ensure TASM’s modelling and analyses are operated and managed under efficient frameworks and digital infrastructure. They also modernise our modelling capabilities and work closely with data engineers, social researchers, and policy teams to provide high‑quality insight.\n\n * Cross‑Modal Modelling (CMM): This newer team focuses on modelling the whole transport system by integrating transport modes and understanding how they interact across portfolios. They build connections and collaborate with other analytical disciplines to ensure the decision-making processes are supported with stronger evidence from a multimodal angle. Their work includes land‑use modelling, freight modelling, activity‑based modelling, and developing multi‑modal guidance for TAG.\n\nAcross both teams, we have 11 analysts with a range of skillsets who collaborate closely, share ideas openly, and enjoy learning and developing together. We value diverse perspectives, innovative thinking, and a supportive working environment. Our work plays a key role in delivering DfT’s strategic priorities\n\nTop Responsibilities\n\n * Lead transformation to our modelling capabilities with Google Cloud infrastructure\n\n * Integrate our modelling workstreams and redesign data pipelines\n\n * Visualise and communicate modelling insights clearly\n\n * Embed scenario‑based analysis into our modelling approach\n\n * Explore innovative techniques (e.g. machine learning) to build smarter, faster models that improve our capabilities\n\n * Deliver research to improve modelling data and accelerate model developments\n\n * Manage one Senior Transport Modeller\n\nBenefits\n\n * Employer pension contribution of 28.97% of your salary. Read more about Civil Service Pensions here\n\n * 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave).\n\n * 8 Bank Holidays plus an additional Privilege Day to mark the King’s birthday.\n\n * Access to the staff discount portal.\n\n * Excellent career development opportunities and the potential to undertake professional qualifications relevant to your role paid for by the department, such as CIPD, Prince2, apprenticeships, etc.\n\n * Joining a diverse and inclusive workforce with a range of staff communities to support all our colleagues.\n\n * 24-hour Employee Assistance Programme providing free confidential help and advice for staff.\n\n * Flexible working options where we encourage a great work-life balance.\n\nAbout You\n\nWe’re looking for people who bring passion, curiosity, and a willingness to learn. If you enjoy solving problems, thinking creatively, and working with colleagues from different backgrounds to deliver meaningful insights, you’ll fit right in. With your strong technical capabilities, you will drive change, improve how we model and analyse transport, clearly communicate impacts to a range of audiences, and confidently bring your own perspective to discussions.\n\nA strong interest in programming and automation will really help you succeed, and we’re keen to support you in developing new skills that strengthen TASM’s analytical capability.\n\nWe know great analysis comes from teams with a wide mix of experiences. We welcome applications from people with strong skills in one or more of the following areas:\n\n * Transport Modelling\n\n * Operational Research\n\n * Data Engineering\n\n * Data Science\n\nHow to Apply\n\n👉 Read the full description and apply at CS Jobs using the link provided.\n\nThis vacancy closes at 23:55 on Sunday 5th April 2026

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.

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.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Director, AI Product - Industrial Intelligence & Platform. This is a high-visibility leadership role shaping how advanced AI is embedded across industrial software products used by some of the world’s most critical infrastructure and asset-intensive organisations. You will sit at the intersection of advanced AI capability and industrial product strategy - defining how cutting-edge machine learning and foundation models translate into scalable, safe, and valuable real-world applications. The opportunity This role is responsible for defining and driving the technical truth behind AI-powered products - including model choices, system logic, and AI capability design from early concept through to production. You will play a central role in shaping the AI product vision and roadmap across a global industrial software portfolio, balancing innovation (0→1) with lifecycle product maturity and enterprise-grade deployment realities. This is a rare opportunity to influence how AI is embedded into complex industrial environments at scale. Key responsibilities • Define and own the technical direction (“technical truth”) of AI capabilities across industrial products, • Shape AI product strategy, roadmap, and requirements in partnership with engineering, data science, and product teams, • Translate emerging AI technologies into viable industrial product opportunities, • Drive AI product requirements (PRDs), prioritisation, and architecture decisions based on customer and domain needs, • Evaluate trade-offs across model performance, data constraints, cost, safety, and scalability, • Identify and mitigate technical, operational, and regulatory risks in AI systems, • Define and track AI product metrics to assess performance and inform roadmap decisions, • Ensure AI capabilities are aligned with industrial safety, security, governance, and compliance requirements, • Mentor and guide junior team members and contribute to a culture of innovation and rigour Key requirements • 10+ years of experience in AI/ML product management or technical product leadership, including 6+ years in senior leadership roles, • Strong technical foundation with recent, hands-on exposure to AI/ML systems (including shipping or influencing production systems), • Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches, • Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven experience balancing innovation (0→1) with mature product lifecycle management, • Strong track record operating in complex, regulated, or industrial environments, • Ability to translate AI capabilities into practical, high-value enterprise use cases, • Exceptional communication and stakeholder influence skills across technical and executive audiences, • Master’s degree in Computer Science, Engineering, Physics or related field (PhD preferred) Why this opportunity? This is a chance to define how AI is productised within one of the most important industrial software ecosystems globally. You will not simply be reacting to trends, you will be shaping how AI is evaluated, prioritised, and embedded into real industrial systems where reliability, safety, and performance matter. This is a role for someone who can operate comfortably between deep technical AI understanding and strategic product leadership, and who wants to see their decisions directly influence real-world industrial outcomes at global scale. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

Are you looking for your next high-impact AI contract where you can hit the ground running and deliver real value from day one? 📍 Manchester / Remote (UK-based) 💼 Contract (Outside IR35) ⏳ Initial 6 months (extension likely) We're working with a well-funded, fast scaling, technology led organisation investing heavily in AI, machine learning and data platforms. We’re looking for a stong AI Engineer to join on a contract basis who enjoy building real-world AI applications. As an AI Engineer you will be: 🔧 Designing and building AI/ML solutions end-to-end 📊 Working with APIs, data sources, and cloud platforms 👥 Collaborating with product, data, and engineering teams 🔍 Experimenting with and implementing modern AI frameworks and tools 🧠 Helping improve performance, scalability, and reliability We’re open to a range of backgrounds, but typically the successful AI Engineer will have: ✔️ Experience as an AI Engineer, ML Engineer, or Data Engineer ✔️ Strong programming skills (Python) ✔️ Experience with LLMs or modern AI tools (e.g. APIs, LangChain, vector databases) ✔️ Understanding of data pipelines and working with datasets ✔️ Familiarity with cloud platforms (AWS, Azure, or GCP) If you match all of the above apply immediately or email 😊

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

About Us: Beazley Security is a global cybersecurity firm committed to helping clients enable advanced cyber defenses that reduce risk with quantifiable results. We’re comprised of top talent from private industry, government, intelligence, and law enforcement who are specialists in threat detection, incident response, digital forensics, offensive security, risk management, and cyber resilience. As a subsidiary of specialty insurance giant, BeazleyInsurance, we’ve been at the forefront of cyber insurance management and breach response activities for business clients in the US, UK, and Europe since 2017. As Beazley Security, the company will have an expanded scope, leveraging nearly two decades of cyber incident experience, a strong services division, and a business strategy focused on growth, to realize our goals and deliver benefit for clients. As a company, we are committed to upholding our core values of Belonging, Integrity, Service, Accountability, and Curiosity. We believe these values are essential to creating a strong and inclusive workplace culture, as well as to delivering world-class cybersecurity solutions to our clients worldwide. As Beazley Security, these values will continue to thrive, with an extra emphasis on expansion of our capabilities and capacity in helping solve unique client challenges. Summary: Beazley Security is seeking a Director of Engineering to lead and scale our software engineering function across multiple product teams building secure, high-performance applications that power our cybersecurity products and services. You’ll set technical direction, strengthen team health, and drive delivery excellence across an organization operating with modern engineering practices including cloud-native architectures, containerization, scalable service design, CI/CD, infrastructure-as-code, and DevSecOps standards. Reporting to the Deputy Chief Product & Technology Officer, you’ll partner closely with Product, Security, IT, and other stakeholders to translate business objectives into dependable engineering execution. You will also help shape our AI strategy, both in how our products responsibly leverage AI capabilities and in how our teams use AI-assisted development tools to securely accelerate delivery, while evolving the engineering team into a scalable, multi-tier organization that supports Beazley Security’s continued growth. This role is ideal for a technical leader with deep software development expertise who thrives at the intersection of people management, product growth, and strategic thinking in a fast-paced, security-conscious environment. Key Responsibilities: Technical Leadership & Strategy • Define and execute the engineering strategy in alignment with Beazley Security’s product roadmap and business objectives, partnering with the Deputy CPTO, CPTO, and Director of Product on long-term technical vision., • Lead architectural planning across all product lines ensuring systems are designed for scalability, reliability, security, and maintainability., • Guide technology decisions, development frameworks, tooling, and infrastructure standards across engineering teams., • Evaluate and adopt emerging technologies, including cloud-native architectures, microservices, and modern DevOps practices, to keep the engineering function at the leading edge. Team Leadership & Management • Directly lead and mentor a growing engineering team evolving the organization from a flat structure into a scalable, multi-tiered team with engineering managers and technical leads over time., • Drive performance management and career development across the team while fostering a culture of accountability and curiosity., • Define the engineering org structure and resourcing plans to support company growth including succession planning and leadership development., • Guide and coordinate outsourced engineering partners alongside the in-house full-time Engineering team by leveraging subcontracting relationships while ensuring both standards and delivery goals are consistently met. Platform Engineering & Reliability • Ensure all products operate reliably on a 24/7 basis, including uptime, incident response, and on-call processes., • Partner with IT to own and manage cloud infrastructure across AWS and Azure, ensuring environments are secure, cost-efficient, and aligned with security and compliance requirements., • Establish and maintain observability, monitoring, and alerting practices to proactively identify and resolve system health issues., • Continue to evolve and optimize our infrastructure-as-code practice and CI/CD pipelines, strengthening deployment automation to further improve delivery velocity and reliability. Project & Delivery Oversight • Oversee execution of engineering projects across multiple product teams ensuring timely delivery and code quality while aligning with the goals of the roadmap and products., • Collaborate with Product to scope and prioritize engineering work within agile delivery frameworks., • Remove blockers and enable teams to operate efficiently and independently while balancing speed with quality and security., • Establish delivery metrics and reporting cadences to provide visibility into engineering velocity and capacity and risk. Cross-Functional Collaboration • Serve as the primary engineering liaison across departments within Beazley Security., • Ensure technical alignment with Beazley Security’s cybersecurity service offerings and evolving client needs., • Partner with Finance to track engineering spend across products and support software capitalization (CapEx) reporting., • Represent the engineering perspective in leadership discussions and planning sessions and client-facing conversations as needed. Engineering Operations • Establish and continuously improve engineering workflows, coding standards, testing practices, code review processes, and deployment pipelines., • Define and monitor key engineering KPIs and quality metrics., • Champion a culture of secure development ensuring security is embedded in the SDLC through practices., • Foster a collaborative, inclusive, and high-trust engineering culture where innovation and continuous learning are valued. Engineering Innovation • Own and drive the AI strategy across the engineering organization through product-facing AL capabilities and internal engineering productivity tooling., • Help define and ensure policies and best practices are met for the secure and responsible adoption of AI-assisted coding tools (e.g., code generation, automated testing, AI-powered code review) across the team., • Collaborate with product leadership to identify opportunities where AI and machine learning can enhance Beazley Security’s cybersecurity service offerings and client value., • Stay current with advancements in AI and assess its applicability to engineering workflows and product features to suggest improvements. Qualifications: • 8+ years of professional software engineering experience with at least 3–5 years in engineering leadership roles managing multi-team or multi-product engineering functions., • Proven track record of building, scaling, and retaining high-performing technical teams, including experience evolving organizational structures as teams grow., • Strong technical foundation in modern software development (e.g., Python, Node.js, TypeScript, Go) and cloud-native development on AWS Fargate and/or Azure EKS., • Experience working in or adjacent to environments where security and compliance are paramount., • Deep understanding of engineering best practices including CI/CD, agile methodologies, infrastructure-as-code, secure coding, and DevSecOps., • Experience with AI capabilities to help guide AI usage within products and in adopting AI-powered developer tools across the engineering team would be preferred., • Experience managing cloud infrastructure partnerships with IT including cost optimization, security hardening, and multi-cloud environments., • Experience leading or integrating outsourced/subcontracted engineering teams alongside in-house staff., • Excellent leadership, communication, and stakeholder management skills. Beazley Security offers: • Fully remote work opportunities to fit your lifestyle., • Competitive salary with a commission structure., • Flexible working arrangements to support balance., • Generous parental leave to support your family., • Private healthcare for your peace of mind., • A strong pension scheme to help secure your future., • A lifestyle allowance to enhance your well-being., • Life insurance and long-term disability coverage for added security., • Opportunities to grow through career advancement and ongoing training., • Access to industry conferences and events for professional development.

Machine Learning Scientist (Contract → Full-Time Potential) Location: Remote (Contract) Duration: 3–6 month contract (with potential to convert to full-time) Company: Stealth-stage MedTech (AI in Oncology) About the Company Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making. Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology. The Opportunity We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets. You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for: • Risk prediction, • Patient outcome modeling, • Clinical decision support High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year. What You’ll Do • Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR), • Develop models for risk stratification and outcome prediction in oncology, • Work with multimodal data (clinical, genomic, and other structured/unstructured sources), • Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment, • Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts, • Translate research insights into production-ready systems What We’re Looking For Core Requirements • Strong background in machine learning and ML engineering, • Experience working with real-world healthcare data, especially: Electronic Health Records (EHR), • Longitudinal patient datasets, • Proven ability to design and run rigorous experiments, • Experience deploying models into production environments, • Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred / Differentiators • Experience with genomics or multimodal biomedical data, • Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science), • Experience in healthcare AI, medtech, or clinical data environments, • Background in statistical modeling, causal inference, or time-series analysis Who You Are • A hands-on builder who can move quickly from idea → experiment → production, • Comfortable working in a fast-paced, early-stage environment, • Able to balance research depth with engineering execution, • Motivated by applying AI to high-impact problems in healthcare Why Join Us • Work on cutting-edge AI problems in cancer care with real-world impact, • Access to proprietary, high-quality patient datasets, • Collaborate with a world-class AI and genomics team, • Flexible contract structure with clear path to full-time, • Join early and help shape a high-growth company pre-public launch

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

About Inworld 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, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory. This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. You will focus on the design, build and optimisation of the Azure Databricks Lakehou

Partnering closely with Data Engineers. Translating business requirements into clear, well-documented data models. This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function.

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks-centric environment at scale.This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function.The team is collaborative

We are hiring a Machine Learning Engineer to build the models and. Design, train, and deploy machine learning models at production scale.

Remote (UK) + client site work.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

This fully funded PhD studentship at the University of Leeds offers a research opportunity focused on Machine Learning Driven Corrosion Modelling in Bio‑Feedstock Refining. The successful candidate will develop advanced data‑driven tools that predict and manage corrosion in these complex systems

Full‑time, permanent role based at 7/8 Wellington Place, Leeds, LS1 4AP.Design, develop, deploy and evaluate data science and machine learning solutions using Python, R and SQL; build models, algorithms and data science tooling.Provide professional leadership to a team of data professionals, ensur

This role involves applying machine learning techniques and storytelling to help stakeholders understand insights.

Lead AI & Machine Learning Engineer. Join to apply for the Lead AI & Machine Learning Engineer role at Lloyds Banking Group. Lead AI & Machine Learning Engineer.

The goal of the Audio Machine Learning Research team is to develop novel AI‑powered audio processing algorithms. Hands‑on experience in at least one of the following research topics: Audio source separation, Speech enhancement, Microphone array signal processing, Tiny ML, Generative audio modell

Work within a pod of Data Scientists under the management of a Lead Data Scientist, applying machine learning and statistical modelling tools suited to the identified initiative. We are pleased to open an opportunity for a talented Senior Data Scientist to join our Jet2 Data Science team for a fixed

We’re looking to recruit a Lead Data & AI Scientist to lead on the delivery of sophisticated methods to a wide range of Economic Crime Prevention (ECP) use cases, including natural language processing, generative Artificial Intelligence (AI) and graph-based Machine Learning (ML). Engage with data

A leading automotive service provider in the UK is seeking a Senior Data Scientist to shape the future of the automotive market. In this role, you will develop analytics strategies, implement advanced machine learning models, and collaborate with stakeholders to drive data-informed decision-making.

TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. Why Join the TELUS International AI Community?.

Complete online training designed to help you enter junior AI and developer roles. This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects.

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