Trabajos machine learning en Reino Unido

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs, 2. Providing technical guidance and troubleshooting support throughout project delivery, 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies, 4. Acting as a trusted advisor to customers on industry trends and emerging technologies, 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts A day in the life About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Centre. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. • Experience as technical specialist in design and architecture, • Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis), • Experience in consulting, design and implementation of serverless distributed solutions, • Experience in cloud based solution (AWS or equivalent), system, network and operating system, • Experience in external or internal customer facing, complex and large scale project management, • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies, • Experience building large-scale machine learning and AI solutions at Internet scale, • PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems, • Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (_) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption, • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy, • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities, • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business, • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines, • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners, • Represent Capital One in external ML/AI technical forums, contributing to industry discussions, • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems, • Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for • Deep expertise in Python and ML engineering, • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures, • Track record of leading ML/AI technical initiatives across multiple teams, • Strong experience with cloud platforms (AWS, Azure, GCP), • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG), • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems, • Experience designing and scaling low-latency, customer-facing ML/AI architectures, • Proven experience setting a multi-team ML/AI technical vision and strategy, • Strong track record of technical leadership and influence without authority, • Experience driving ML engineering standards and best practices across organisations, • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems, • Experience leveraging enterprise platforms to deliver business use cases at scale, • Experience of steering Communities of Practice or technical forums, • Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront - to provide LGBTQ+ support for all associates, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all, • Women in Tech - promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Data Science Manager London, Hybrid (2-3 days per week) £100,000 - £110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.

Data Scientist London£450 - £500 Per DayOutside IR35Immediate Start3 Days In OfficeThe Company They are a data-driven organisation operating at scale, with a strong focus on leveraging analytics to improve performance and customer outcomes. Their teams bring together expertise across data science, engineering, and business strategy to deliver impactful projects. They value collaboration, curiosity, and pragmatic delivery. This is an organisation that invests in modern tools and encourages continuous learning.The Role and Deliverables • Build, validate, and deploy machine learning models to solve business problems, • Translate complex data into actionable insights for non-technical stakeholders, • Work with structured and unstructured datasets to uncover trends and opportunities, • Collaborate with data engineers to ensure scalable and efficient data pipelines, • Deliver clear documentation and communicate findings effectively, • Support ongoing optimisation and monitoring of deployed modelsYour Skills & Experience, • Strong experience in data science or applied machine learning within a commercial environment, • Proficiency in Python or R, with experience using relevant libraries and frameworks, • Experience working with SQL and handling large-scale datasets, • Ability to communicate technical concepts clearly to a range of audiences, • Familiarity with model deployment and production environments, • A problem-solving mindset with a focus on delivering business valueHow to Apply If you are a Data Scientist looking for your next contract opportunity in London, apply now to learn more.

Robert Half Technology are assisting a leading sports media organisation to recruit an AI Engineer on a 6-month contract basis. ASAP start. Outside IR35. Hybrid working - London based. Role The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions across digital sports media platforms. Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows. Develop and maintain robust data pipelines and model deployment infrastructure. Implement monitoring, evaluation, and governance processes for AI systems to ensure reliability and performance. Work with structured and unstructured datasets including video, social, audience, and editorial content. Optimise AI models and inference pipelines for scalability, latency, and cost efficiency. Troubleshoot and resolve issues across AI systems, APIs, and production environments. * Keep abreast of emerging AI technologies, industry trends, and best practices within sports media and entertainment. Profile The AI Engineer will have strong experience developing and deploying machine learning and generative AI solutions in production environments. Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. Strong knowledge of cloud platforms including AWS or Azure. Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. Must have previous experience working within a small to medium-sized business (SME), start-up, or scale-up environment. Comfortable operating in fast-paced, evolving businesses with changing priorities and hands-on delivery expectations. Strong understanding of APIs, microservices, and scalable backend systems. Excellent problem-solving and analytical skills with strong attention to detail. Strong communication and stakeholder management skills, with the ability to work effectively in cross-functional teams. * Previous experience within media, sports, broadcasting, or digital content environments would be advantageous. Company Leading sports media organisation with offices in London Hybrid working environment * Fast-paced, collaborative, and technology-driven culture Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Senior Data Architect - Finance - London A small but growing consultancy is seeking an experienced Senior Data Architect to play a key role in shaping and governing enterprise data architecture across a complex, highly regulated environment. This is a hands-on architecture role requiring someone who can operate with credibility from day one, defining technical patterns, assuring solution designs and providing architectural leadership across data, analytics, and emerging AI initiatives. We're looking for a technically minded architect rather than a purely business-focused strategist; someone who enjoys solving complex data challenges, influencing engineering teams, and ensuring robust architectural standards are adopted across the organisation. The Role You will be responsible for defining and evolving data architecture capabilities that support operational reporting, advanced analytics, machine learning, and AI-driven solutions. Working closely with data engineering, analytics, governance, security, and business stakeholders, you will help shape the organisation's data value chain while ensuring solutions are scalable, secure, and aligned with regulatory requirements. Key responsibilities include: • Defining enterprise, domain, and solution-level data architectures, • Establishing and governing data architecture standards, principles, and technical patterns, • Designing logical and physical data models for operational, analytical, and AI use cases, • Providing architectural oversight and design assurance across delivery teams, • Supporting data governance, lineage, metadata management and data quality initiatives, • Contributing to long-term architecture roadmaps and investment planning This is an excellent opportunity to join an organisation undergoing significant data and technology evolution with a very well established client base, where architecture plays a critical role in enabling future analytics, AI and business capabilities. Salary on offer is up to £100,000 plus benefits on a hybrid basis. Please get in touch asap for more information.

AI Product Specialist - Artificial Intelligence, Generative AI, LLM, Machine Learning Our global law firm client are actively looking to take on a new AI Product Specialist (Artificial Intelligence, Generative AI, LLM, Machine Learning) to join them on a permanent basis. Our client have recently undergone a merger and are actively looking for bolster their product team as they continue to utilise AI products, this role will sit at the heart of this work, contributing to the full product lifecycle, from shaping the vision and client experience through execution and delivery. to be considered for this AI Product Specialist (Artificial Intelligence, Generative AI, LLM, Machine Learning) role, it's ideal that you have: • 2 + Years in a similar role, • Ideal but not required law firm or professional services experience, • Management of AI products, • Ideal but not required qualifications within AI Responsibilities • AI platform management: Day-to-day ownership and operational management of the firm's core AI products, including tracking and assessing regular release updates, evaluating new features against firm requirements, and co-ordinating with the AI Product Manager on prioritisation., • Product adoption: Working closely with the Digital Learning team to develop and maintain high-quality training materials, user guides, and communications for core AI products; coordinating and delivering training across the firm's user base; and driving firmwide adoption initiatives to ensure lawyers and Business Professionals are actively engaging with and benefitingfrom the platforms' capabilities., • User query and workflow support: Serving as a knowledgeable point of contact for user queries relating to AI products,, • triaging issues and requests, supporting users with complex workflow questions, and escalating to the AI Product Manager where required., • Roadmap and backlog management: Supporting the creation and management of product roadmaps, and taking ownership, • of backlog maintenance, sprint co-ordination, and feature tracking across the AI portfolio, working in close collaboration with the AI Product Manager., • Stakeholder engagement: Building and maintaining effective relationships with internal stakeholders across practice groups, • and Business Professionals; communicating product updates clearly and proactively; and translating technical detail into accessible business context for non-technical audiences., • Compliance and governance support: Assisting the AI Product Manager in maintaining product governance documentation,risk assessments, and regulatory alignment across the AI portfolio.

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare 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. 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.

Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role, not a people-management position. You'll lead through technical depth, judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale. The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: • Provide technical leadership across platform, DevOps, and MLOps activities, • Design, build, and operate a Kubernetes-based MLOps platform supporting the full model lifecycle, • ImplementandrunMLOps tooling that enables teams to:, • Experiment with models and notebooks, • Package, version, and deploy models, • Run scalable inference and LLM-based workloads, • Build and operate model serving and inference platforms within Kubernetes environments, • Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows, • Own platform operability, reliability, security, and supportability in production, • Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers, • Contribute to architectural decisions while staying hands-on with delivery, • Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructureWhat we're looking for This role suits someone who is fundamentally a strong platform engineer, with the depth to apply those skills confidently to MLOps. Essential experience: • Strong background as a Senior or Lead Platform Engineer / DevOps Engineer, • Deep, hands-on experience building and operating Kubernetes-based platforms, • Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform), • Proven experience extending Kubernetes with higher-level platforms and services, not treating it as the finished product, • Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance, • Comfortable working directly with engineers and data scientists to support real production workloadsMLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: • Building or operating MLOps platforms using tools like Kubeflow or similar frameworks, • Running model serving and inference platforms (e.g. KServe, vLLM, or equivalent), • Supporting LLM-based workloads, including optimisation and serving considerations, • Providing notebook-based environments such as JupyterHub in secure platforms, • Exposure to emerging tooling such as InstructLab, Trustworthy / Responsible AI tooling, or comparable solutionsDesirable experience, • Building internal platforms specifically for data science and ML teams, • Operating AI-enabled or data-driven systems in production, • Experience in regulated, security-conscious, or high-assurance environments, • Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product, enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Java Software Engineer - Java Developer, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office - Notting Hill) Description for the Senior Java Software Engineer role:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Java Software engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some of the best known technology companies today. You will have a great opportunity to work with a variety of languages, frameworks and tools. Applicants will need a background in Java with a focus on Server side technologies. Core skills for the Senior Java Software Engineer: • 5yrs+ in a commercial Development role, • Solid experience of Java, • Good knowledge of Cloud Technologies (AWS) and Microservices, • Strong database knowledge (SQL and NoSQL), • Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering., • Experience or interest in AI or Machine Learning Salary for the SeniorJava Software Engineer will depend on experience, but expect between £70,000 and £85,000 + Pension + benefits Other benefits include:- Free breakfast and coffee, drinks and snacks all day/every day. Food ordered for a weekly team lunch. Regular team events (dinner, bowling, karting, poker nights, board-games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Senior Java Software Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence +++++Applicants must have the right to work in the UK, no sponsorship is offered for this role++++++++

Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. Data Science Lead Upto £1,000/day PAYE | Initial 6-Month Contract Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. The Role We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore delivery partners to identify opportunities, shape data science strategy, and ensure the successful delivery of business-critical initiatives. Key Responsibilities • Lead the design, development, and deployment of advanced analytical and machine learning models., • Partner with business and technology stakeholders to translate complex challenges into data-driven solutions., • Drive the modernisation of data science practices, tools, and methodologies., • Oversee model performance, governance, documentation, and regulatory compliance., • Manage and mentor data scientists while collaborating with offshore analytics teams., • Present insights and recommendations to senior business audiences.Essential Experience, • Proven experience leading data science projects in large, complex organisations., • Strong Python and/or HX modelling experience., • Track record of delivering models that drive measurable commercial outcomes., • Expertise in predictive modelling, machine learning, and statistical analysis., • Experience working with large-scale structured and unstructured datasets., • Strong stakeholder management and communication skills.Desirable, • Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims., • Experience with Spark, Hadoop, NoSQL, or modern big data platforms., • Agile delivery experience and collaborative software development practices., • Experience leading analytics teams and driving organisational change. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Principal Data Architect - Energy, Data Platforms, Snowflake, Azure Fabric £825 per day (Inside IR35) Primarily remote 3 - 6 months My client, a high-profile consultancy, urgently requires a Principal Data Architect to join a major Programme. This role will play a key part in delivering enterprise data architecture and supporting strategic data initiatives. Key Requirements: • Proven experience as a Principal / Lead Data Architect in complex enterprise environments, • Strong track record delivering end-to-end cloud data platforms (Snowflake and/or Azure Fabric), • Expertise in data modelling (dimensional, star/snowflake, 3NF) and ELT/ETL pipeline design, • Deep hands-on experience with Snowflake (Snowpark, SnowPipe/Streaming, Dynamic Tables, Cortex, Unistore, optimisation, RBAC, warehouses, time travel, zero-copy cloning), • Broad experience across modern data platforms and tools (Snowflake, Fabric, Databricks, CosmosDB, MongoDB, RDBMS), • Experience with data integration (Matillion, Alteryx, Qlik), CDC/replication (Qlik Replicate, GoldenGate), and BI (Power BI), • Strong knowledge of APIs, messaging, and streaming data architectures, • Solid experience in data security, governance, and regulatory frameworks (GDPR, SoX, CNI), • Strong understanding of relational and NoSQL data architectures, • Proven ability to troubleshoot complex data pipelines and platform issues, • Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian), • Exposure to Machine Learning, Generative AI, and Agentic AI, • Strong stakeholder engagement and collaboration with BI/analytics teams Nice to Have: • Experience within the Energy / Utilities sector, • Hands-on experience with Azure ML or advanced analytics platforms, • Prior involvement in large-scale data transformation or data strategy programmes If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

MLOps Engineer, Palantir PlatformFully Remote 6 Month ContractOutside IR35£550 to £650 per dayThe Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams are collaborative, delivery focused and used to working with senior technical stakeholders.The Role and Deliverables • Design, build and maintain MLOps pipelines on the Palantir Foundry platform., • Enable reliable deployment, monitoring and retraining of machine learning models in production., • Partner with data scientists and engineers to operationalise models efficiently., • Implement best practices around CI/CD, model versioning and data quality., • Support platform optimisation, scalability and reliability across environments., • Produce clear technical documentation to support ongoing delivery.Your Skills & Experience, • Strong experience in MLOps or machine learning engineering within production environments., • Hands on capability with Palantir Foundry, including pipelines and operational workflows., • Solid Python skills and experience supporting end to end ML lifecycles., • Practical knowledge of CI/CD, containerisation and cloud based infrastructure., • Confidence working with complex data systems and multiple stakeholders.How to Apply If you are an MLOps Engineer with Palantir experience looking for a meaningful contract project, please apply with your details below!

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

A pioneering London-based robotics company is seeking a Senior Robotics Engineer to help design, build, and scale the next generation of robotic arm devices for both domestic and commercial environments. This is a rare opportunity to join a fast-moving, product-driven team building real robots that operate in real homes, workplaces, and service environments. If you want to work on robotics that actually ships, not just lab demos, this is the role. The Role You will take a senior, hands-on position in the development of advanced robotic arm systems — from motion planning and control to perception-driven manipulation. You’ll work closely with mechanical, software, and AI teams to deliver robust, safe, and intelligent robotic behaviours. This is a role for someone who thrives in high-autonomy environments and wants to see their work deployed in real-world products. Key Responsibilities • Lead development of robotic arm control systems, including kinematics, dynamics, and trajectory planning, • Build and optimise manipulation algorithms for grasping, handling, and interaction tasks, • Integrate perception systems (vision, depth, tactile) with manipulation pipelines, • Work on motion planning, collision avoidance, and safe operation in human-centric environments, • Collaborate with mechanical and embedded teams to refine hardware–software integration, • Contribute to architecture, design reviews, and long-term technical strategy, • Mentor junior engineers and help shape engineering best practicesWhat You’ll Bring, • Strong experience in robotic arm systems, manipulation, or industrial robotics, • Deep knowledge of kinematics, dynamics, control theory, and motion planning, • Proficiency with C++ and/or Python in robotics contexts, • Experience with ROS/ROS2, real-time systems, or embedded control, • Hands-on experience integrating hardware, sensors, and actuators, • Ability to work in a fast-paced, product-focused environment, • A passion for building robots that operate safely and reliably around peopleNice to Have, • Experience with domestic robotics, service robots, or human–robot interaction, • Background in machine learning for manipulation or perception, • Familiarity with simulation tools (Gazebo, Isaac Sim, Mujoco), • Knowledge of safety standards for commercial robotic systemsWhy Join, • Work on real robots used in homes, workplaces, and commercial environments, • Join a company at the forefront of next-generation domestic and service robotics, • High autonomy, high impact, and the chance to shape core product capabilities, • Collaborative, engineering-led culture with rapid decision-making, • Competitive salary, benefits, and long-term growth opportunities

• Senior Quantitative Developer / Research & Data Engineer, • Research & Data Engineer, • UNITED KINGDOMSenior Quantitative Developer / Research & Data Engineer- LONDON- UNITED KINGDOMPrimary Skills - Python, C++, quantitative, research, market data, simulation frameworksSecondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, LinuxNo. Positions - 3Remote Status - No RemoteClient Willing to Sponsor - YesDegree - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research ONLYRelocation Paid - YesRecruit From UK onlySalary Details:Annual Salary - £250,000 - £600,000Other Compensation - Base + BonusJob DescriptionQuantitative Developer / Senior Research & Data Engineer - Systematic Trading (London)About the OpportunityAn established quantitative investment organization managing multi-billion-dollar assets is expanding its London engineering team. The firm combines the resources, stability, and track record of a leading investment manager with the agility and technical culture of a high-performance engineering organization.This is an opportunity to work alongside world-class quantitative researchers, traders, and technologists while building the core platforms that power systematic investment strategies. Engineers in this group own critical systems end-to-end and play a direct role in enabling research, simulation, data processing, and production trading.The environment is highly collaborative, technically demanding, and focused on engineering excellence. Senior engineers are trusted with significant ownership and are expected to influence architecture, technical direction, and long-term platform strategy.What You'll Be DoingDepending on team alignment and expertise, responsibilities may include:, • Designing and enhancing real-time market data infrastructure supporting research and trading systems, • Building scalable platforms that enable quantitative researchers to develop, validate, and deploy predictive models, • Creating simulation and backtesting environments capable of supporting large-scale experimentation, • Developing research tooling and frameworks that improve productivity across quantitative teams, • Engineering reliable production systems that bridge the gap between research and live trading, • Building data pipelines and distributed services that support high-volume analytical workloads, • Contributing to the architecture of next-generation trading and research infrastructure, • Optimizing performance-critical systems where latency, reliability, and scalability are essentialTechnology EnvironmentThe engineering stack includes:, • Python, • C++, • Linux, • Distributed Systems, • Cloud Infrastructure, • Data Platforms, • Market Data Technologies, • Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering.Required Qualifications, • Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Operations Research, or a closely related quantitative discipline, • Degree earned from a highly regarded university with a strong academic record, • Approximately 6+ years of relevant software engineering experience, with flexibility for exceptional candidates, • Advanced Python development experience, • Strong proficiency in C++, • Experience designing and building large-scale software platforms, frameworks, or infrastructure, • Deep understanding of software engineering best practices and system design principles, • Excellent verbal and written communication skillsPreferred ExperienceSuccessful candidates will typically have experience in one or more of the following environments:, • Quantitative hedge funds, • Systematic investment firms, • Proprietary trading firms, • Electronic trading organizations, • High-performance engineering teams within leading technology companies Additional experience with the following is highly valued:, • Market data systems, • Quantitative research platforms, • Backtesting and simulation frameworks, • Trading infrastructure, • Distributed computing, • Performance optimization, • Large-scale data processingWhat Makes This Role Unique, • Direct influence on critical engineering initiatives, • Significant ownership and autonomy, • Opportunity to work closely with quantitative researchers and trading teams, • Exposure to complex technical challenges involving large-scale data and systematic investing, • Competitive compensation structure including substantial bonus potential, • Access to a highly experienced leadership team and exceptional engineering peers, • Long-term career growth within a rapidly expanding quantitative organizationCompensationThe compensation package is designed to attract top-tier engineering talent and includes:, • Highly competitive base salary, • Guaranteed first-year bonus for qualified hires, • Total compensation ranging from approximately £250,000 to £600,000+, depending on experience, expertise, and impact, • Relocation support where applicable, • Visa sponsorship for eligible candidates This position is best suited to senior engineers who enjoy solving complex technical problems, building durable platforms, and operating at the intersection of software engineering, quantitative research, and trading technology.IND123

Senior Data Engineer (Scala/Spark) London | Hybrid Working | Initial 12 month contract | £450-550pd PAYE + holiday pay We are partnering with a world-leading technology organisation seeking an experienced Senior Data Engineer to join a high-performing engineering team responsible for building and operating large-scale data platforms that support advanced machine learning and recommendation systems used by millions of users globally. This is an opportunity to work on highly complex distributed systems, developing production-grade data pipelines that power critical machine learning workflows at scale. As a Senior Data Engineer, you will design, build and operate large-scale batch data pipelines using Scala and Apache Spark. Working alongside Machine Learning Engineers, Researchers and Platform Engineers, you will help develop the infrastructure and tooling required to process vast datasets and support the delivery of intelligent, data-driven products. This role sits at the intersection of data engineering and machine learning infrastructure, with a strong focus on performance, scalability, reliability and operational excellence. Key Responsibilities • Design, develop and maintain large-scale Scala and Spark data pipelines., • Build new data processing capabilities within an established engineering framework., • Own the performance, reliability and operational health of production data pipelines., • Develop tooling and infrastructure that supports machine learning workflow execution and deployment., • Optimise data processing systems for throughput, scalability and efficiency., • Collaborate closely with Data Engineers, ML Engineers and Research teams to deliver high-quality datasets and platform capabilities., • Identify and resolve bottlenecks, performance issues and system failures., • Contribute to engineering best practices, code quality and platform improvements. About You You are an experienced data engineer who enjoys building robust, scalable systems and operating them in production environments. You'll bring: • Strong commercial experience developing applications and data platforms using Scala., • Deep expertise with Apache Spark and distributed data processing., • Proven experience designing, building and supporting production-grade data pipelines., • Strong understanding of software engineering principles, testing and operational best practices., • Experience troubleshooting complex performance, reliability and scalability challenges., • Ability to work effectively within established engineering frameworks and standards., • Excellent communication and collaboration skills. Desirable Experience • Experience working within large-scale data or platform engineering environments., • Exposure to machine learning infrastructure, pipelines or production ML systems., • Experience supporting data processing frameworks, orchestration platforms or workflow tooling., • Familiarity with JVM-based distributed systems., • Experience working within highly scalable cloud or distributed computing environments. What You'll Gain • The opportunity to work on data systems operating at global scale., • Exposure to cutting-edge machine learning infrastructure and workflows., • Collaboration with world-class engineers, researchers and technical leaders., • A highly technical engineering environment focused on quality, scalability and innovation. This role would suit a Senior Data Engineer, Scala Engineer, Spark Engineer, Data Platform Engineer or Distributed Systems Engineer looking to work on complex engineering challenges within a world-class technology environment.

Senior AI Engineer London Hybrid (3 days per week)Up to £120,000This is an opportunity to join a growing, data-focused organisation that is investing heavily in AI to drive product innovation and business performance. You will play a key role in designing and building production AI systems, working in a collaborative environment where engineering quality and real-world impact are prioritised.The Company They are a scaling, data-led business with a strong focus on leveraging AI and machine learning to enhance their products and services. With a modern technology stack and a clear roadmap for growth, they are building out their AI capability to support increasingly complex use cases. The culture is collaborative, delivery-focused, and encourages ownership across engineering teams.The Role • Design and deploy production-grade AI and machine learning models, • Build and maintain scalable data and AI pipelines, • Work closely with data, engineering, and product teams to deliver impactful solutions, • Contribute to system architecture and engineering best practices, • Improve model performance, monitoring, and deployment processesYour Skills and Experience, • Strong commercial experience building and deploying AI and machine learning solutions, • Advanced proficiency in Python and modern ML libraries and frameworks, • Experience working with cloud platforms and scalable data systems, • Understanding of MLOps, model lifecycle, and deployment best practices, • Ability to collaborate effectively in a cross-functional environmentWhat They Offer, • Salary up to £120,000, • Hybrid working in London, 3 days per week onsite, • Opportunity to work on high-impact AI initiatives, • Modern tooling and a strong engineering culture, • Clear progression as the team continues to grow

Senior Outsystems Developer, £300-350 per day inside IR35 3 – 6 months rolling, Remote Working Bench IT require a Senior Outsystems Developer to join a large organization ASAP working remotely. The successful candidate will have strong OutSystems experience and the ability to work independently. The successful Outsystems Developer should have the skills and experience included below; • Commercial experience developing applications using OutSystems., • Proven ability to deliver solutions independently with minimal oversight., • Experience with C#/.NET development., • Understanding of API management and API gateway patterns., • Experience working with event-driven architectures, including messaging and queue-based integration patterns., • Desirable – Exposure to AI technologies, including Generative AI, machine learning services, AI-assisted development tools or intelligent automation. Senior Outsystems Developer, £300-350 per day inside IR35 3 – 6 months rolling, Remote Working

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000, • Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts., • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Full Stack AI Engineer London2-3 Days a Week On Site£500-£600 Per DayInside IR35Immediate Start The Company They are a large, established organisation investing heavily in applied AI to improve customer-facing and internal capabilities. The business operates at enterprise scale and provides standardised GenAI services through an internal platform. Technology teams work closely with product, architecture, and delivery stakeholders to solve meaningful, real-world problems. The environment values engineering quality, collaboration, and accountability for outcomes. The Role and Deliverables • Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification., • Develop cloud-native microservice or full-stack applications using API-led architectures., • Integrate AI capabilities securely and reliably, in line with platform standards and guardrails., • Take end-to-end ownership from local development through CI/CD, deployment, monitoring, and incident resolution., • Build and maintain DevSecOps pipelines with automated testing, security controls, and infrastructure as code., • Implement observability, logging, metrics, and alerting to support live production workloads. Your Skills & Experience • Strong experience in software engineering, delivering complex distributed or microservice-based systems., • Proven capability building and operating production applications with embedded AI or machine learning features., • Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant., • Solid experience integrating systems via APIs, including REST and event-driven patterns., • Hands-on DevOps expertise covering CI/CD, containerisation, and cloud platforms such as AWS or Azure., • Strong understanding of non-functional requirements including security, resilience, performance, and scalability., • Confidence working across multidisciplinary teams and communicating technical concepts clearly. How to Apply If you are looking for a contract role where you can deliver meaningful AI solutions at scale, apply to learn more about this opportunity.

AI Solutions Lead - Insurance - London (Hybrid) - Up to £100,000 I'm currently working with a top Insurance broker in the London Market to appoint an AI Solutions professional t act as the go-to person for AI and Machine Learning within the development function, working closely alongside senior leadership an cross-functional teams. Backed by significant investment and experiencing rapid growth, the business has made AI a core part of its strategy for developing and enhancing its products. This role has been created as a critical part of that vision - not as an experimental initiative or a future consideration, but as a key position shaping the next phase of the company's growth. Skills & Experience Experience within insurance or financial services (this doesn't need to be purely technical)Hands-on prompt engineering experienceExperience working in a GCP environment (or strong exposure)Someone who already has an AI-first mindsetComfortable working with different teams and speaking to stakeholdersConfident enough to suggest ideas and improvements, not just follow instructionsWhat you'll get £100k salary (depending on experience) + bonusUnlimited holidayPension and private healthcareA central London office and a hybrid setupThe chance to genuinely shape how a business uses AI going forward If you're serious about AI and want to help shape the future of an entire development function - let's have a conversation. All candidates must be based in or around London, UK, and be comfortable travelling on-site a minimum of 3 days per week.To be eligible for this role you're required a full, unrestricted right to work in the UK, this organisation is not able to offer sponsorship.

Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy, combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing • Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value, • Design, develop and deploy advanced analytics, machine learning models, and data products, • Lead and contribute to high-impact data science projects across the organisation, • Translate complex analysis into clear, actionable insights and recommendations, • Work closely with data engineers to ensure robust, scalable data pipelines and solutions, • Provide technical leadership, setting standards and coaching other data scientists, • Drive innovation and champion the use of AI and advanced analytics, • Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: • Python and advanced statistical tools, • Machine Learning and AI frameworks, • Cloud-based data platforms (e.g. Azure ecosystems), • Data visualisation and reporting tools, • Data engineering and transformation pipelinesWhat We're Looking ForEssential:, • Extensive experience designing and delivering data science and AI solutions in real-world environments, • Strong expertise in statistical analysis, machine learning, and advanced analytics techniques, • Proven ability to write and optimise complex code, • Experience working closely with data engineers and multidisciplinary teams, • Demonstrable contribution to building data science capability and best practice, • Ability to communicate complex findings clearly to both technical and non-technical audiencesDesirable:, • Experience working in agile, iterative delivery environments, • Understanding of user research and user needs in product development What Makes This Role Stand Out, • Opportunity to lead and shape AI and data science strategy, • Combination of hands-on delivery and technical leadership, • Focus on delivering real-world impact through data, • Work across a variety of complex, high-value problem spacesKey Skills, • Advanced statistical analysis and modelling, • Data engineering collaboration and data lifecycle understanding, • Storytelling with data and visualisation, • Data ethics, privacy, and governance awareness, • Stakeholder engagement and influencing, • Product thinking and deliveryWhat You'll Deliver, • High-quality AI models and analytical solutions, • Insightful dashboards, reports, and visualisations, • Scalable and reusable data science products, • Established standards, practices, and capability improvements, • Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Graduate Data ScientistLondon - 4 days a weekThe Company They are a modern, data-driven insurance provider focused on delivering flexible, tailored policies to customers. The business has expanded its product offering and built strong commercial partnerships, driving rapid growth. With around 100 employees, they are scaling quickly and investing heavily in advanced analytics and modelling. The culture is collaborative, fast-paced, and centred on innovation.The Role As a Graduate Data Scientist, you will work on models that sit at the core of the business and support key commercial decisions. • Develop predictive models across pricing, risk, and customer acquisition, • Build clustering and segmentation models to support strategic decision-making, • Analyse large and complex datasets to uncover actionable insights, • Collaborate with analysts and engineers to deploy and productionise models, • Contribute to a greenfield modelling environment and help shape best practices, • Take ownership of projects with visibility across the wider businessYour Skills and Experience, • Strong academic background in a STEM subject such as Mathematics, Data Science, Computer Science, or similar, • Solid programming skills, ideally in Python, • Understanding of statistical modelling and machine learning fundamentals, • Hands-on experience through internships, placements, or personal projects, • Demonstrated curiosity and initiative, such as side projects or GitHub work, • Clear communication skills and the ability to collaborate with cross-functional teams, • Motivated, proactive, and keen to take ownership early in your careerWhat They Offer, • Hybrid working with a strong in-office culture, • Opportunity to work on high-impact, business-critical models, • Fast career progression as the team continues to grow, • Work abroad flexibility for short periods each year, • Supportive environment with strong learning and development opportunitiesHow to Apply If you are a graduate or early-career data scientist looking to make an impact in a high-growth environment, please apply with your CV.

Senior AI Engineer (LLMs, RAG & Agentic Systems) | £75,000 - £90,000 | London Hybrid An award-winning and highly innovative organisation is looking to hire a Senior AI Engineer to join a growing AI and Data Science function delivering cutting-edge AI products into production. This is an opportunity to work on genuinely impactful AI initiatives, developing and deploying large-scale AI applications that sit at the heart of the business. You'll be working on modern Generative AI use cases including Retrieval-Augmented Generation (RAG), agentic workflows, conversational AI, recommendation systems and intelligent automation solutions. Working alongside Data Scientists, Engineers and Product teams, you will take ownership of the full AI lifecycle, from requirements gathering and solution design through to deployment, optimisation and ongoing enhancement. The Role Design and develop production-grade AI applications using both traditional Machine Learning and Generative AI approaches Build and deploy RAG systems, LLM-powered applications and agentic workflows Develop scalable APIs, microservices and cloud-native AI solutions Work closely with business stakeholders to translate requirements into technical solutions Deploy and monitor AI solutions within modern cloud environments Drive best practice across MLOps, deployment, governance and model lifecycle management* Collaborate with cross-functional engineering, product and analytics teams What We're Looking For Strong experience delivering Machine Learning solutions into production Hands-on experience with LLMs, RAG architectures and agentic AI workflows Experience with frameworks such as LangChain, LlamaIndex or similar Strong Python development skills Experience building APIs and microservices Knowledge of Docker, Kubernetes and cloud platforms Understanding of MLOps and production deployment practices Strong stakeholder management and communication skills Why Apply? Work on some of the most exciting AI projects currently being delivered in industry Strong executive sponsorship and investment in AI Opportunity to influence the future direction of AI products and platforms Hybrid working model Excellent benefits package including bonus, pension and private healthcare Genuine opportunity for career progression within a growing AI function Salary: £75,000 - £90,000 + Bonus + Benefits Location: London (Hybrid - 2 days per week onsite) Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

We are partnering with an innovative and rapidly growing AI-focused SME developing cutting-edge technologies to support law enforcement and public sector organisations. This is a unique opportunity to join a scaling business at an early stage, where you will have the autonomy to shape solutions, influence direction, and work on impactful, real-world challenges. This is a permanent position based in London with flexible working and a salary banding of £60,000 to £90,000 + excellent benefits. About the Role We are seeking a Data Scientist to work on advanced analytical solutions across biometric and geospatial (GPS) datasets, with a particular focus on anomaly detection. You will work with multiple complex data streams, including biometric data captured via wearable technologies and location-based datasets. This role will suit someone who enjoys working close to the intersection of software, data, and hardware, gaining an understanding of how data is captured as well as how it is analysed. You’ll play a key role in developing scalable models and helping define the technical direction in a fast-paced, evolving environment with minimal structure. Key Responsibilities • Develop and deploy data science models, with a focus on anomaly detection, • Work across multiple datasets, including biometric and GPS/location data, • Analyse and interpret data generated from wearable hardware devices, • Collaborate with engineering teams to understand data capture mechanisms and pipelines, • Contribute to shaping the technical roadmap and direction of the product, • Explore opportunities to leverage AI/ML techniques (including LLM-related approaches where relevant), • Scale solutions from prototype through to production Key Requirements • Proven experience as a Data Scientist within an SME or scaling environment, • Strong experience in machine learning and anomaly detection techniques, • Experience working with time-series, biometric, or GPS/location data, • Understanding of how data is generated from hardware or IoT/wearable devices, • Ability to operate with limited direction and take ownership of solutions, • Strong programming skills (e.g. Python, relevant ML libraries), • Experience deploying models into production environments What’s on Offer • Salary of £60,000 – £90,000, • Opportunity to join a high-growth AI company at an early stage, • High level of ownership and influence over technical direction, • Work on mission-critical solutions supporting law enforcement, • Exposure to cutting-edge problems across AI, biometrics, and geospatial data

Job Summary Senior Robotic Process Automation We are seeking a highly capable Senior UiPath AI Automation Lead with strong experience across the UiPath Business Automation Platform, particularly within AI-powered automation technologies. This role combines technical leadership, intelligent automation delivery, and live service ownership. The successful candidate will lead and support a team of automation developers, drive the adoption of AI-enabled solutions, and oversee the support and maintenance of intelligent automation services in production. The role will focus heavily on leveraging UiPath's AI capabilities, including Communications Mining, Document Understanding, AI Center, Agentic Automation, and Generative AI technologies, to transform business processes and unlock efficiencies from unstructured data sources. While this is a leadership role, the postholder will remain hands-on and contribute to the design, development, and deployment of intelligent automation solutions where required. Strong experience with UiPath Studio and Orchestrator is essential, alongside practical experience implementing AI-driven automation solutions across the wider UiPath ecosystem. Key Responsibilities Senior Robotic Process Automation • Lead and support a team of Intelligent Automation developers, providing technical leadership, mentoring, and day-to-day direction., • Support with the organisation's AI automation strategy, identifying opportunities to leverage AI and intelligent document processing capabilities., • Design, build, test, and deploy intelligent automation solutions using UiPath Studio, AI Center, Document Understanding, Communications Mining, and Agentic Automation capabilities., • Remain hands-on where required, contributing directly to the delivery of priority automation and AI initiatives., • Manage automation execution, scheduling, assets, queues, models, and environments through UiPath Orchestrator., • Take ownership of live intelligent automation solutions, ensuring they remain operational, performant, and continuously improved., • Investigate, troubleshoot, and resolve issues arising within AI-driven automations, including model performance, extraction accuracy, classification outcomes, and production incidents., • Monitor and optimise machine learning models, extraction frameworks, and communications classification performance to maximise business value., • Lead the implementation of Document Understanding solutions, including classification, extraction, validation, and continuous model improvement., • Design and implement Communications Mining solutions to analyse, classify, and route large volumes of unstructured communications such as emails, forms, and correspondence., • Work closely with business stakeholders to identify opportunities where AI, machine learning, and intelligent automation can deliver measurable efficiencies and service improvements., • Develop scalable and maintainable intelligent automation solutions that combine AI capabilities with traditional workflow automation., • Utilise UiPath Data Service and modern data management practices to support AI-enabled automation solutions., • Work with UiPath Insights and analytics platforms to measure automation adoption, AI model effectiveness, and business outcomes., • Support governance, model lifecycle management, documentation, and operational handover of AI-enabled solutions into live support., • Collaborate within Agile delivery teams and participate in planning, demos, retrospectives, and continuous improvement activities. Required Skills & Experience Senior Robotic Process Automation • Strong hands-on experience with UiPath Studio and Orchestrator, including end-to-end solution delivery., • Experience leading or mentoring developers, with the ability to provide technical direction and oversee delivery quality., • Proven experience supporting, maintaining, and troubleshooting live RPA solutions in production., • Strong working knowledge of REFramework, selectors, assets, queues, triggers, and error handling., • Proficient in VB.NET and/or C#., • Experience with API integration, SQL, and Excel/XML file handling., • Clear understanding of UiPath deployment models, production support, and operational management of automations., • Strong communication and documentation skills, especially when explaining solutions to non-technical users and coordinating across teams., • Ability to balance leadership responsibilities with occasional hands-on development work. Preferred Qualifications Senior Robotic Process Automation • UiPath Certified RPA Developer Associate or Advanced., • Experience with any of the following:, • UiPath Communications Mining, • UiPath AI Center / Document Understanding, • UiPath Data Service (for persistent entity storage), • Exposure to Git or Azure DevOps pipelines in the context of UiPath., • Bachelors degree in computer science, Engineering, or a related field.

Data Solution Architect | Retail | London I'm currently supporting a leading UK retail organisation undergoing a major data transformation programme and seeking an experienced Data Solution Architect to help shape the future of its customer data capabilities.This is an exciting opportunity to define and influence enterprise-wide customer data architecture, working across analytics, personalisation, CRM, loyalty and marketing functions to deliver scalable, secure and business-focused data solutions.Role & Responsibilities• Define target-state and transition-state customer data architectures• Design scalable customer data solutions that support analytics, personalisation and business growth• Lead architectural decisions around customer data management, identity resolution and master data management• Produce architecture artefacts and design documentation for engineering teams• Review solution designs for alignment with architecture principles and governance standards• Collaborate with Data, Analytics, CRM, Loyalty, Marketing and Technology stakeholders• Drive best practice across data integration, governance, quality and securitySkills & Experience• Proven experience as a Data or Solution Architect within a large-scale retail environment• Strong background in Customer Data Architecture and Customer Data Management• Experience designing Data Lake and Lakehouse solutions• Strong understanding of Analytics, Reporting and Customer Insight platforms• Knowledge of Data Governance, Security and Enterprise Architecture principles• Experience presenting solutions and influencing senior stakeholders• Ability to create and govern architecture standards, design principles and design decisionsDesirable Experience• Azure-based data platforms and services• Databricks• Machine Learning and AI-driven personalisation solutions• Agile delivery environments• Mentoring and reviewing architecture produced by othersContract Details• 6-Month Initial Contract• Up to £750 per day (Umbrella)• Inside IR35• Hybrid Working – 3 Days per Week Onsite in LondonIf you're interested in hearing more, or know someone who could be a great fit, please get in touch.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar., • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship., • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment. This is a senior, hands-on practitioner role, not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. The organisation is outcome-led rather than technology-led. Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: • Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration, • Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results, • Design and run structured experiments to assess model behaviour, performance, and user impact, • Work with real, imperfect operational data, not just curated or static datasets, • Collect, assess, and transform data to support model evaluation and continuous improvement, • Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose, • Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints, • Communicate complex technical ideas clearly to non-technical stakeholders, enabling informed decision-making, • Engage confidently in deep technical design and review discussions with peers, • Operate effectively within a strong technical assurance and review culture, • Collaborate with internal teams and selected external partners working at the leading edge of AIWhat we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: • Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent, • Strong grounding in applied mathematics, statistics, and scientific practice, • Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation, • Excellent Python skills for building, evaluating, and iterating on ML solutions, • Experience working with real-world, imperfect data from operational systems, • Strong software engineering practices, including readable, maintainable, and well-tested code, • Experience integrating ML components into broader production systems, • Clear understanding of data ethics, privacy, and responsible use of data, • Strong communication skills across technical and non-technical audiences, • Proven ability to lead work independently and take ownership of outcomesTechnologies you'll encounter The environment evolves, but typical tools include: • Python for experimentation, modelling, and evaluation, • Weights & Biases (or equivalent) for experiment tracking, • AWS, including services such as SageMaker and Bedrock, • Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools. Adaptability and outcome focus matter more than platform allegiance. Desirable experience • Working in secure, safety-critical, or heavily regulated environments, • Background in sectors such as energy, oil & gas, defence, or public sector, • Experience within formal technical assurance or governance processes, • Collaboration with external suppliers, partners, or research organisations, • Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Lead AI Engineer Location: Hybrid - London (Flexible)Salary: from £80,000 + bonus + benefitsContract: Permanent, Full-time About the Company We're partnering with a growing technology-focused business investing heavily in AI, automation, and next-generation digital platforms. The company is building AI-enabled tools and intelligent internal systems designed to improve operations, workflows, and decision-making across the organisation. With a strong engineering culture and a product-led environment, they are focused on delivering practical AI solutions that create measurable business impact. This is an opportunity to join during a key growth phase and play a leading role in shaping how AI is adopted and deployed across the business. The Role We're looking for an experienced Lead AI Engineer to join a growing engineering team and help design, build, and deploy scalable AI-powered applications and services. This is a highly hands-on role focused on turning ideas into production-ready solutions. You'll work across backend engineering, AI integration, APIs, cloud infrastructure, and automation while collaborating closely with product and technical stakeholders. You'll also help evaluate emerging AI technologies and contribute to best practices across AI engineering and platform development. Key Responsibilities • Design and build AI-enabled applications, tools, and workflows, • Integrate LLMs and AI services into production systems, • Develop APIs, backend services, automations, and data pipelines, • Translate business requirements into scalable technical solutions, • Prototype and iterate quickly on AI-driven features and use cases, • Write clean, maintainable, production-quality code, • Improve reliability, scalability, monitoring, and performance of AI systems, • Support deployment and operationalisation of AI applications, • Mentor engineers and contribute to technical best practices, • Work closely with product, engineering, and business stakeholdersRequired Background & Skills, • Strong software engineering background with backend development expertise, • Strong Python experience and cloud-native development, • Experience integrating AI / LLM technologies into real-world applications, • Experience building scalable production systems, • Understanding of APIs, distributed systems, microservices, and system design, • Experience with cloud platforms such as Azure, AWS, or GCP, • Familiarity with DevOps / MLOps tooling including Docker, Kubernetes, CI/CD, monitoring, and logging, • Comfortable operating in fast-paced, product-led environmentsNice to Have, • Experience with RAG pipelines, vector databases, or AI agents, • Exposure to machine learning workflows and applied AI systems, • Experience building internal AI platforms, copilots, or automation tools, • Startup or scale-up experienceWhy Apply?, • Join a growing team investing heavily in AI and emerging technologies, • Work on real-world AI products and production systems, • Hybrid London role with flexible working, • Strong progression opportunities within a modern engineering environment, • Competitive salary, bonus, and benefits package Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Passionate about contributing to a more sustainable world? Bring your passion for sustainability and digital innovation to a meaningful Senior Software Developer role that is instrumental in shaping and advancing the digital infrastructure that supports our engineering and consultancy teams to design services for some of the world's best and most sustainable buildings. ABOUT USAt Max Fordham we are proud to be a partnership, run by the people who work here. ABOUT THE ROLEBased in either our Edinburgh or London office, the Senior Software Developer will play a critical part in advancing the digital capabilities of our engineering and consultancy services. This role will involve software development to support the digital transformation of our workflows, project delivery, and performance modelling across the built environment. The expectation is that the successful candidate will work from the office 2-3 days per week and undertake some travelling between the other offices as required.What technology do we use?Listed below are the technology stacks that Max Fordham use. The successful candidate will be expected to work with the following core technologies: • Programming: Python, JavaScript, TypeScript, SQL, C#, C++, • Frameworks & Tools: FastAPI, Jupyter, JupyterHub, Voila, Power BI, GitHub, Vue, Nuxt, • AEC Platforms & Standards: Revit, Revit API, pyRevit, Rhino, Grasshopper, IES VE (and it’s Python API), BIM data standards (IFC, COBie), • Cloud & Infrastructure: AWS/Azure, Git, Ansible, • Extract, Transform and Load (ETL) ResponsibilitiesKey responsibilities of the roleIn addition to the core technology listed above, this role will involve:, • Developing and maintaining custom software tools and plugins that integrate with AEC platforms (e.g. Revit, Rhino, IES)., • To support the Director responsible in developing the technical strategy for data and software initiatives aligned with the practice’s digital transformation goals., • Designing and implementing data pipelines and analytics dashboards to support project performance, sustainability metrics, and digital design workflows., • Collaborating with multidisciplinary teams to translate engineering and project requirements into scalable digital solutions., • Ensuring data quality, governance, and compliance with UK BIM standards and construction data protocols., • Mentoring junior developers and analysts, fostering a culture of innovation and continuous learning., • Communicating complex technical concepts clearly to non-technical stakeholders and project teams., • Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment.ABOUT YOUWe value people who can think analytically and creatively, adopting a first principles approach to create elegant and innovative solutions to practical problems.Essential personal attributes for this role include being keen and willing to learn and to possess a strong sense of ownership for the work that you do. You must care about the presentation and detail of the work and have a strong desire to achieve technical excellence and completeness.Being a motivated team player and a good communicator is also fundamental for the role, as well as having the ability to build strong relationships and collaborate with the Software Development and Digital Design teams.It would also be advantageous to have some knowledge or interest in the built environment and the construction (AEC) industry.Key skills and qualifications required for the role:, • Initiative and proactive working methodology, • Ability to work well with colleagues to achieve shared goals, • Confidence to interrogate a brief and question supervisors’ approach rather than following blindly, • Degree Level (minimum) in maths, science, engineering or computational design with experience in coding.Shortlisted applicants will be expected to complete a homework assignment before a follow-up technical interview, after which a decision will be made, and a position will be offered. We look forward to your application!WHAT WE OFFER, • Excellent growth opportunities for your personal and career development in a knowledge driven environment, • An inclusive culture that encourages collaboration, openness, and knowledge sharing, • An open, supportive, and cooperative working environment, • One paid professional subscription per year, • Interesting and technically challenging projects, • Opportunities for involvement in business-running activities, • Flexible working arrangements, including hybrid working opportunities, • Competitive pay and employee bonus, • Future opportunities for Partnership, • Six weeks holiday (including Bank holidays), • Max Fordham Pension Scheme, • Other benefits include generous paid parental leave, sick pay, and treatment pay.SALARY: £45,000 - £60,000, DOELOCATION: Edinburgh or LondonCLOSING DATE: 21st June 2026 at 22:00 (GMT)HOW TO APPLYThis position is available for an immediate start. Please note that all applicants must have an existing and valid right to work in the UK. As a consequence of the changes made to the Skilled Worker route by the UK Government, we are unable to sponsor Skilled Worker visas for this position.If you are interested in working with us, we would be delighted to hear from you. In addition to submitting your CV, please include a cover letter within the application form outlining how your skills meet the role criteria and how your interests align with our vision of a beautifully engineered, net zero carbon world for a sustainable future.To support our fair and anonymised recruitment process, please ensure that your cover letter does not include any personal identification details.If you have any additional queries, please contact us directly. REF-228 933

Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery. This is a hands-on senior platform role, focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role. Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI / ML platform, not just running clusters. You will: • Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams, • Extend Kubernetes with MLOps-specific capabilities, rather than treating it as a finished product, • Provideplatform-level support for:, • Model development and experimentation, • Model packaging, deployment, and promotion, • Scalable inference and LLM-based workloads, • Build shared platform services that enable consistent, repeatable model deployment, even where day-to-day deployment is owned by MLOps or ML engineers, • Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose, • Own platform operability, reliability, security, and lifecycle management in production, • Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers, • Contribute to architectural decisions while remaining hands-on with implementationWhat we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer, with the depth to support AI and ML workloads properly. Essential experience: • Strong background as a Senior Platform Engineer or Senior DevOps Engineer, • Deep, hands-on experience building and operating Kubernetes-based platforms, • Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform), • Proven experience building internal platforms for other engineers, not just running workloads, • Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability, • Comfortable collaborating closely with MLOps engineers and data scientists, even where responsibilities differML platform & MLOps knowledge (important) You don't need to be a full-time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: • MLOps platforms (e.g. Kubeflow or similar frameworks), • Model serving and inference platforms (e.g. KServe, vLLM, or equivalent), • Supporting LLM-based workloads, including performance and scaling considerations, • Notebook environments such as JupyterHub, • Awareness of emerging tooling around Responsible / Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience • Working in organisations with a clear AI or data platform strategy, • Supporting data scientists or ML engineers at scale, • Experience in regulated, secure, or high-assurance environments, • Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers. Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for a Lead AI Architect (Enterprise AI) for a 12 Month contract based in London orEdinburgh (Hybrid - 3 days per week in the office). Join us as a Lead AI Architect (Enterprise AI). As Lead AI Architect (Enterprise AI), you will drive the design and delivery of a next-generation enterprise AI ecosystem, embedding intelligent capabilities across the organisation. You will define the architectural vision and standards that enable scalable, secure, and business-aligned AI solutions, supporting a major transformation programme within Computershare. Your key responsibilities will include: • Define and own the enterprise AI architecture, including model strategy, orchestration frameworks, APIs, and integration standards., • Establish architectural patterns for Generative AI, agentic systems, retrieval-augmented generation, and data pipelines at scale., • Lead the selection and optimisation of the AI technology stack, balancing capability, cost, risk, and vendor considerations., • Drive the adoption of shared, governed AI platforms and reusable components across multiple workstreams., • Provide architectural leadership and oversight, ensuring AI solutions are scalable, secure, and aligned with enterprise standards., • Embed Responsible AI, security, governance, and observability into all AI solutions as they move into production. What you will bring to the role: • Extensive experience in enterprise or solution architecture, with a strong focus on AI, machine learning, or distributed systems., • Proven expertise in Generative AI technologies, including Large Language Models, agentic frameworks, and vector databases., • Strong command of at least one major cloud platform (AWS or Azure) and modern software engineering practices., • Demonstrated experience in financial services or another regulated industry (mandatory), • Deep understanding of AI governance, security, and Responsible AI principles., • Ability to engage and influence senior stakeholders, translating business strategy into architectural roadmaps. Next steps Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists. AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements. We can only accept workers operating via an Umbrella or PAYE engagement model. Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.

Senior Data Scientist ABOUT THE COMPANY The company is a group of established pharmaceutical and healthcare intelligence solution providers that support clients across the drug development life cycle, from pipeline through to patient access. THE TEAM The Data Science team focuses on developing AI, machine learning, and advanced analytics solutions that turn complex healthcare and pharmaceutical data into actionable insights for customers. The team works collaboratively across data science, product, domain experts, and engineering. Its work combines artificial intelligence, machine learning, statistical modelling, and sector knowledge to build customer-facing products and internal platforms. SCOPE OF THE ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI / ML to content, data, and products • Conduct research and identify AI / ML algorithms and methods to solve specific business problems, • Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams as part of customer-led product development • Deploy solutions as production-grade microservices in collaboration with engineering and DevOps teams • Contribute to common data science platforms and shared data assets, • Stay up to date with advances in the field and share relevant developments with internal teams As a senior-level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, previous successful launches have typically reached general availability within approximately six months from project start. Solutions may use a wide range of approaches, including agentic systems, model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, data transformations, and business logic. The emphasis is on solving the right problem rather than using a specific technology for its own sake. Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI / ML applications and data-driven solutions, • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including foundation model APIs, prompt engineering, and retrieval augmented generation • Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, and Deep Learning • Understanding of computer science fundamentals, computational complexity, and algorithm design, • Ability to engineer and deploy well-architected software packages, • Strong communication and stakeholder management skills, with the ability to independently own and execute a project holistically at a high level • Experience mentoring junior team members Preferred Qualifications: • Deep expertise in engineering agentic AI systems, • Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data, • Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute, and storage, • Ability to prototype proof-of-concept web applications with familiarity across the full stack, • Expert usage of AI coding tools and workflows

MLOps Platform Manager London Rate: £550-£650 Outside IR35 Per Day Work Type: Fully remote Start: ASAP The Company They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence. The Role and Deliverables • Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience., • Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks., • Define and embed standard MLOps patterns covering model development, deployment, monitoring and lifecycle governance., • Lead platform releases and upgrades, including planning, testing, communication and rollback where required., • Implement and maintain security, risk and compliance controls for data and machine learning workloads., • Manage the platform roadmap, cost optimisation activities and key supplier relationships. Your Skills & Experience • Strong experience operating Palantir platforms in production, or comparable enterprise data platforms, with ownership of platform operations., • Proven capability delivering MLOps practices end to end, including CI/CD, automation, monitoring and model governance., • Experience working closely with security, risk and governance teams to evidence controls and support audits., • Confident stakeholder management skills, able to balance delivery speed, cost and risk across technical and non technical teams., • A service owner mindset with a focus on stability, continuous improvement and enabling delivery teams. How to ApplyApply now to discuss this contract opportunity and how it could align with your experience.

SC Cleared Data Scientist - Contract Canary Wharf (Hybrid - 1 day per week onsite)£650-£750 per day (Inside IR35)Contract until September Morgan Hunt are working with a high-profile public sector organisation who require an SC Cleared Data Scientist to support a key programme of work through to September. This is an excellent opportunity to contribute to a data-driven transformation programme within a secure environment, working alongside experienced data, engineering and policy teams. The Role You will play a key role in delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: • Developing and deploying predictive models and statistical analysis, • Working with large, complex datasets to identify trends and insights, • Collaborating with data engineers and stakeholders to shape data solutions, • Supporting decision-making through clear visualisation and communication of findings, • Ensuring work aligns with security and governance requirementsKey Requirements, • Active SC Clearance (essential), • Proven experience as a Data Scientist in complex or regulated environments, • Strong skills in Python (or similar) and data science libraries, • Experience with machine learning, statistical modelling and data analysis, • Ability to communicate technical findings to non-technical stakeholders, • Experience in public sector or government environments is highly desirableWhat's on Offer, • £650-£750 per day (inside IR35), • Hybrid working (1 day per week onsite) Canary Wharf, • Opportunity to work on a high-impact, nationally significant programme Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align engineering work with research objectives and project goals Requirements: MSc in Computer Science or related subject Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research

Head of Data Science London£700-£800 Per DayOutside IR352 Days On SiteImmediate StartThe Company They are a growing organisation that places data at the centre of decision-making. With a strong leadership commitment to analytics, they are investing in capability across data science, engineering, and AI. Their environment encourages innovation, experimentation, and cross-functional collaboration. You will join at a pivotal stage, with the chance to influence both strategy and execution.The Role and Deliverables Define and execute the data science strategy, aligning with broader business objectives Build, mentor, and lead a high-performing data science team Oversee the development and deployment of machine learning models and advanced analytics solutions Partner with senior stakeholders to identify opportunities where data science can drive commercial impact Establish best practices for model development, validation, and governance Deliver measurable outcomes through scalable data science solutions and clear reporting of impactYour Skills & Experience Strong experience leading data science teams and driving strategic initiatives Deep expertise in machine learning, statistical modelling, and advanced analytics techniques Proficiency in tools such as Python or R, and familiarity with modern data platforms Experience translating complex data insights into clear business recommendations Demonstrated ability to influence senior stakeholders and lead cross-functional collaboration A track record of delivering end-to-end data science projects in a commercial environmentHow to Apply If you are ready to take on a leadership role with real influence, apply now to learn more.

Senior ML Platform Engineer London 5 Days a Week In Office £550-£700 Per Day, Outside IR35 Immediate Start The Company They are a technically ambitious organisation building advanced machine learning systems tightly integrated with real-world systems. Their platform supports the full lifecycle from data collection through to large-scale training and deployment. Engineering quality, reliability, and thoughtful system design are core to how they operate. The Role and Deliverables • Own and evolve the operator-facing platform, including web UIs, backend services, and CLI tooling used for live data collection and dataset workflows., • Design and maintain robust recording and orchestration systems that scale across robots, sensors, and lab environments., • Collaborate with the ML team on dataset builders, ingestion pipelines, and infrastructure supporting large-scale distributed training., • Partner with robotics engineers on ROS2 integration, on-robot deployment, and clean platform-to-robot interfaces., • Improve reliability and performance through testing, containerisation, and careful handling of concurrency, IO, and state management., • Support cross-functional teams with tooling, debugging utilities, and well-engineered solutions to fast-moving technical problems.Your Skills and Experience, • Strong experience owning and extending production Python systems, with a focus on clean, well-tested, well-documented code., • Deep understanding of concurrency, async workloads, and IO-bound performance in real systems., • Experience building or supporting high-throughput data pipelines and distributed or scalable infrastructure., • Hands-on experience with web backends such as FastAPI and pragmatic frontend development using vanilla JavaScript., • Confidence designing developer-friendly CLIs and operator tooling that are reliable and hard to misuse., • Experience with containerisation and reproducible runtime environments., • Ability to collaborate effectively across ML and robotics teams, translating evolving requirements into robust engineering.How to Apply Apply now to explore how you could take ownership of a critical ML platform and help shape systems used every day by engineers and operators.

Reed.ai is looking for a Senior Developer to join their team in Holborn, London. Overview Join a collaborative, forward-thinking team that values creativity, experimentation, and impact—and help redefine the future of recruitment through intelligent, human-centered technology. We’re looking for a talented and experienced Senior Fullstack Developer to play a pivotal role in the development and growth of a brand-new AI recruitment platform as it prepares to enter the market this summer. This is a rare opportunity to take a product from Beta launch to full market release and beyond, shaping its trajectory at every stage. You’ll be central to transitioning product development from an external agency to an in-house team, while driving technical excellence, user adoption, and long-term innovation. This is a chance to build something meaningful from the ground up—within a startup-style venture backed by the strength and stability of an established business. Key Responsibilities End-to-end development of high-quality, scalable SaaS platforms from design through deployment and maintenance. Architect and implement robust backend services primarily using Python and PostgreSQL. Develop and maintain responsive, performant front-end applications with TypeScript and modern frameworks (e.g., NextJS, NodeJS). Collaborate with product owners, UX/UI designers, and other stakeholders to translate requirements into technical solutions. Champion agile ways of working, driving continuous improvement and delivery excellence. Integrate and optimize AI tools and APIs to enhance development productivity and platform capabilities. Provide technical mentorship and leadership to development teams, fostering best practices in coding, testing, and deployment. Participate in code reviews, architecture discussions, and system design decisions. Troubleshoot and resolve complex technical issues across the full stack. Ensure software security, scalability, and performance are maintained at all times. Keep abreast of emerging technologies and industry trends to inform strategic decisions. Skills and Experience Minimum 8 years of commercial software development experience, with at least 3 years in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS platforms in a production environment. Strong understanding and practical application of Agile software development methodologies. Hands-on experience integrating AI tools, APIs, or platforms into software solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme Paid time off to move home Contributory pension scheme Enhanced family leave benefits Insurance benefits including life assurance Love Mondays events Discount scheme including gyms and popular retailers Range of wellbeing and mental health support avenues Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep.

AI Engineer Location: London (Hybrid - 2-3 days per week onsite) Salary: £80,000 - £120,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance. We are currently supporting a high-growth organisation seeking an experienced AI Engineer to join their expanding AI function and help build next-generation intelligent products and services. The Opportunity This is an exciting opportunity for an AI Engineer who enjoys solving complex problems and building production-ready AI solutions that deliver measurable business value. Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies. You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice technologies and advanced data-driven applications. Key Responsibilities • Design, develop and deploy AI and Machine Learning solutions into production environments, • Build and optimise Generative AI applications using Large Language Models (LLMs), • Develop Retrieval Augmented Generation (RAG) architectures and AI agents, • Build speech-to-text, voice AI and accessibility-focused solutions, • Create intelligent chatbots, virtual assistants and conversational AI platforms, • Develop APIs and microservices to support AI applications, • Build scalable data pipelines for AI model training and inference, • Fine-tune, evaluate and optimise machine learning models, • Collaborate with software engineering teams to integrate AI capabilities into existing products, • Monitor model performance and implement continuous improvement processes, • Ensure AI solutions are secure, scalable and compliant with governance standards, • Participate in technical design sessions and contribute to architectural discussionsTechnical Skills RequiredArtificial Intelligence & Machine Learning, • Commercial experience developing Machine Learning solutions, • Experience working with Large Language Models (LLMs), • Knowledge of Generative AI technologies, • RAG (Retrieval Augmented Generation) implementation experience, • NLP and Conversational AI development, • Model training, testing and evaluation, • Prompt Engineering and AI workflow optimisationProgramming & Frameworks, • Strong Python development skills, • PyTorch, • TensorFlow, • Scikit-Learn, • LangChain, • LangGraph, • Hugging Face, • FastAPI, • REST APIsData Technologies, • SQL, • NoSQL Databases, • Data Modelling, • ETL Development, • Data Pipeline Engineering, • Vector Databases such as Pinecone, Weaviate or ChromaDBCloud & DevOps Experience with at least one major cloud platform: • AWS (preferred), • Bedrock, • SageMaker, • Lambda, • ECS / EKS, • S3 Or experience within: • Microsoft Azure, • Google Cloud Platform (GCP) Additional experience with: • Docker, • Kubernetes, • Git, • CI/CD Pipelines, • Terraform (desirable)What We're Looking For, • Strong software engineering foundations, • Passion for AI and emerging technologies, • Experience delivering solutions in production environments, • Ability to work collaboratively across engineering and business teams, • Strong problem-solving and analytical skills, • Excellent communication skills, • Desire to learn and stay ahead of rapidly evolving AI technologiesDesirable Experience, • Voice AI solutions, • Speech Recognition technologies, • Accessibility-focused AI applications, • Agentic AI systems, • Multi-modal AI platforms, • MLOps and model monitoring, • Real-time AI inference systems, • Enterprise AI deploymentsEducation & Experience, • Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering or related discipline, • Equivalent commercial experience considered, • Typically 3+ years of software engineering experience with exposure to AI, Machine Learning or Data Science projectsWhat's On Offer?, • Salary between £80,000 - £120,000, • Hybrid working model, • Exposure to cutting-edge AI technologies, • Opportunity to work on enterprise-scale AI initiatives, • Clear progression into Senior AI Engineer or AI Technical Lead roles, • Collaborative and innovative engineering culture, • Significant investment in AI and emerging technology If you're passionate about Generative AI, Machine Learning, Voice AI, Agentic Systems and building technology that genuinely transforms businesses, we'd love to hear from you.

Lead Data & AI Architect (Contract) - London / Hybrid Robert Half International (an S&P 500 global staffing provider) is supporting a client in the search for an experienced Lead Data & AI Architect. This is a highly client-facing role suited to individuals with a strong consulting background who can combine deep technical expertise with stakeholder management, solution architecture and strategic advisory capabilities. As a trusted advisor, you will help organisations shape enterprise data strategies, modernise data platforms and build scalable foundations for AI, analytics and business intelligence initiatives. Assignment Details: • Initial 3-month contract with strong likelihood of extension, • ocation: London/Hybrid (1-2 days per week in the City), • ailyRate: £600p/day via umbrella company, • Fast-track onboarding available Key Responsibilities: • Lead data architecture engagements from discovery through to implementation and optimisation, • Design and deliver enterprise-scale data platforms across Microsoft Fabric, Azure, AWS, Databricks and Snowflake, • Define data architecture roadmaps aligned to business and AI strategies, • Drive data modelling, governance, integration and interoperability standards, • Architect solutions supporting analytics, machine learning and AI use cases, • Provide technical leadership across data engineering, analytics and AI delivery teams, • Establish best practice around security, privacy, compliance, metadata and data quality, • Act as a trusted advisor to senior business and technology stakeholders, • Support client workshops, solution development and strategic architecture assessments Required Experience: • Previous consulting experience within a recognised consulting organisation, • Extensive experience leading enterprise data architecture initiatives, • Strong client-facing stakeholder management and advisory skills, • Experience delivering cloud-based data platforms within complex environments, • Experience operating across multiple workstreams and senior stakeholders, • Ability to bridge business strategy and technical delivery Nice to Have: • Microsoft Azure Solutions Architect Expert AWS Solutions Architect Professional Databricks Certifications CDMP Certification Terraform, Bicep or Infrastructure-as-Code experience dbt, Airflow or modern orchestration frameworks Experience supporting AI, GenAI or RAG-based architectures* Experience within Financial Services, Healthcare, Life Sciences, Energy, Retail or Manufacturing Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Lead Data Scientist England£450-£480 Per Day, Outside IR35RemoteImmediate StartThe CompanyThey are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.The Role and DeliverablesYou will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments. Design, build, and deploy machine learning models within Pega-based decisioning platforms. Lead model development across feature engineering, training, validation, and ongoing performance monitoring. Work closely with application and logic developers to embed models into operational decision workflows. Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases. Design and run experiments, including A/B testing, to quantify business impact. Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.Your Skills and Experience Strong experience delivering data science solutions in client-facing or consulting environments. Advanced capability in Python and or R, with hands-on use of modern machine learning libraries. Deep understanding of statistical modelling, experimentation, and model evaluation techniques. Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure. Proven ability to communicate complex technical concepts to non-technical audiences. Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable. Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous. Familiarity with MLOps practices and model monitoring frameworks is beneficial.How to ApplyIf you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.

Senior AI/ML Research Engineer (Azure AI foundry, Multi Agents and Azure Cloud)£550-£700/day (max)Central LondonStarting July until 31st Dec 2026No sponsorship – do not apply if you require sponsoringCertain Advantage are recruiting on behalf of our global client for a Senior AI/ML Research Engineer with experience in Azure AI foundry, Multi Agents and Azure Cloud solution development.The RoleYou’ll be a key member of the GenAI team within the responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas.The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability, and scalability standards.You will lead end-to-end AI/ML solution development from data exploration and experimentation through to deployment, monitoring, and continuous optimisation.Working closely with cross-functional teams including data engineering, infrastructure, DevOps, and product management you’ll translate business needs into robust, reusable machine learning architectures. Skills & Expertise sought • Experience in Azure AI foundry, Multi Agents and Azure Cloud solution development is essential., • We need Engineers with demonstrable experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI., • You must have experience in the development of enterprise-grade RAG systems, including context engineering and multimodal data pipelines., • We also need candidates offering experience in the design and deployment of autonomous multi-agent systems using modern orchestration frameworks and evaluation approaches., • Experience delivering Text-to-SQL solutions and natural language interfaces for structured data environments. Does this sound like your next career move? Apply today!Working with Certain AdvantageWe go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it.We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.If this job isn’t for you, head to certainadvantage.co.uk and register for job alerts and career guidance tips.