173 jobs found

Job Title: Marketing Specialist - Eloqua - CDP Location: London - twice a week in the office Salary/Rate : £345 per day inside IR35 Start Date: 06/07/2026 Job Type: Contract - 12 months Company Introduction We have an exciting opportunity now available with one of our sector-leading data analytics clients! They are currently looking for a skilled Marketing Specialist with strong Eloqua and CDP experience to join their team for a twelve-month contract. Job Responsibilities/Objectives The role is part of a centralized data and marketing technology team. The role supports four brands and involves working with a data engineer, scientist, and analyst. Experience with Oracle or Eloqua CDP platforms is preferred for the role. Role aims to support analytics capabilities and commercial strategy alignment. Implementation of new marketing technology stack starts July 6th - ideally they would like for someone to join on 6th July but they can wait up to 4 weeks' notice if necessary. Role requires B2B experience in operationalising CDP insights into journey orchestration. Availability for interviews starts next week, with potential slots on Friday and Wednesday. Required Skills/Experience The ideal candidate will have the following: Experience with Oracle or Eloqua CDP platforms is preferred. Experience in marketing analytics and digitally led buying journeys is critical. End-to-end customer journey mapping experience is required. Commercial focus and ability to translate insights into execution is essential If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.

Senior Data Analyst Salary: 65K - 75K Location: Manchester (Hybrid) We're working with a high-growth business that is scaling its data function to the next level. They are investing heavily in their product and data capabilities, as part of this investment, they are hiring a Senior Data Analyst to own experimentation and performance insight across their search ranking and personalisation systems. The Opportunity Within this role as Senior Data Analyst, you will partner closely with cross-functional teams to ensure product changes are properly tested, accurately measured, and clearly linked to business performance. This is a product-focused analytics leadership position with a strong emphasis on experimentation and impact evaluation. Skills & Experience Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation Commercial awareness Strong SQL experience Experience partnering with data scientists and engineering teams This is an opportunity to have ownership. For consideration, please submit your CV. Senior Data Analyst

AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance.This is an exciting opportunity to play a key role in delivering cutting-edge AI solutions within a secure, high-impact environment-helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production-grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI.Key responsibilities include: Designing, developing and deploying AI-enabled applications across cloud platforms Building and scaling Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production-ready services Engaging stakeholders to identify and shape high-value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof-of-concepts to support decision-making and future investment Experience Required Proven experience delivering AI-enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI-driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) 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.

Develop infrared imaging systems for object detection and characterisation This high-growth startup in the defence and security sector is seeking an experimental physicist to work on infrared detection systems. You will build and operate their experimental systems working on all aspects of the design from sensor selection and optical design through to signal processing and data analysis. Your work will directly translate to the technologies and products of the company, and your insights will shape their future research direction. Requirements: Strong hands-on skills building and troubleshooting optical and electronic systems using infrared sensors or detectors. Specific experience with thermal imaging or Long-wave / Medium-Wave / Short-Wave IR would be beneficial but is not required. Good knowledge of signal processing and data analysis methods in the context of imaging processing and object detection. PhD in Physics (or equivalent commercial experience) supported by a top undergraduate degree in Physics (Oxford, Cambridge, Imperial or equivalent). UK national or previous UK security clearance. This is a defence company, and this role requires applicants to be eligible for UK security clearance. This is a great opportunity to further your career working on technically challenging problems with real-world impact. You ll be working alongside other scientists and engineers developing cutting-edge technologies in a stimulating research environment. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27652 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting

Title: UK Sales Manager - Chemicals Location: Remote, occasional requirement on site in Manchester office Salary: 45,000 - 55,000 + benefits Term: Permanent SRG is partnering with a leading chemical manufacturer in Manchester, who offer a wide range of innovative raw materials to manufacturers and brands in the UK market (encompassing Personal Care, HI&I, Oil & Gas and Agriculture amongst others). With world-class R&D and manufacturing facilities, they have a well-known reputation for success in the market. Adopting a value-based sales approach, you will travel extensively across the North of the UK and Ireland, regularly meeting customers to continually build, develop and grow customer relationships across a variety of chemical manufacturers and brands. With several existing buying accounts, the role will be approximately 50/50 business development-account management. Benefits: Car allowance, very generous bonus scheme (up to 15k annually!), full autonomy to manage a well-established territory with scope to grow it further. Role / Description Identifying, contacting and developing new business using a variety of methods Promoting the company's range of innovative raw materials Growing market presence across the Northern UK & Ireland chemicals market Growing existing customer relationships to ensure customer satisfaction and ultimately look to increase account spend Travelling approximately 1/3 of your time across Northern UK to visit customer sites Generating leads to identify new potential UK chemical customers Maintaining and updating the database to build a global customer pool Keeping abreast of product development & trends in the chemicals industry. Requirements Recent direct experience in consultative and technical sales of chemical raw materials to either Personal Care, HI&I, Oil & Gas, Agriculture or other related sectors Degree-level qualified (or equivalent) in Chemistry or a closely related subject Experience with delivering technical presentations on chemical raw materials Excellent communication and interpersonal skills Willing, and excited, to travel 1/3 of your time across Northern UK & Ireland Full, clean UK driving licence A proactive approach and drive to deliver exceptional customer service If you would like to apply for this position, please use the link provided. Alternatively, please email a copy of your CV to For more information regarding this position or any others, please call Amy on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Exciting Opportunity: Senior Molecular Biologist (Gene Synthesis Start-up) Are you a hands-on molecular biologist who enjoys turning science into real-world solutions? We are looking for a Molecular Biologist to join an early-stage biotech bringing a gene synthesis technology to market. Your focus will be on commercial implementation. You'll tackle customer-driven challenges head-on, solving problems and adapting approaches to meet real-world constraints and deliver results. Job Title: Senior Molecular Biologist Vacancy Type: Permanent Location: London Salary: DOE About the Organisation You'll be joining a biotech start-up focused on bringing a gene synthesis platform to market. The team is small, ambitious, and technically driven, working at the intersection of molecular biology and automation. With support from Innovate UK, the business is moving rapidly from concept through validation and toward commercialisation. The Role of the Senior Molecular Biologist This is a hands-on, lab-focused role , working as part of a small core team to develop and refine process workflows that underpin a commercial gene synthesis offering. You'll take ownership of key work packages, contributing directly at the bench while collaborating closely with internal colleagues and external partners to solve complex technical challenges. Key responsibilities include: Designing, executing, and troubleshooting molecular biology workflows related to gene synthesis Owning and driving iterative experimental cycles to improve performance, robustness, and scalability Developing and maintaining SOPs and documentation Collaborating with external partners to replicate and internalise key technical capabilities Establish protocols on automated liquid handling platforms to enable commercial scale Operating and optimising sequencing platforms, including Nanopore and Sanger sequencing Analysing sequencing and experimental data, including use of Python-based tools Contributing to broader strategy discussions as the platform evolves toward commercialisation The Ideal Candidate for the Molecular Biologist Role To succeed in this role, you will bring: A strong foundation in molecular biology , with proven hands-on troubleshooting experience A highly practical mindset with a genuine enthusiasm for bench science and iteration Familiarity with automated liquid handling systems Experience operating Nanopore and Sanger sequencing platforms Experience working within industry and have commercial acumen Working knowledge of Python for scientific or sequencing data analysis Excellent documentation and communication skills The ability to take ownership of a workstream and drive it independently Experience working in a commercial gene synthesis setting Nice to have (Not essential): Project management skills Experience in synthetic chemistry pertinent to DNA synthesis Background & Mindset This role is best suited to someone who: Focused: on leading and delivering scientific work in a commercial setting. Comfortable with working with the goal of meeting commercial objectives. Has experience across both structured environments (e.g. larger organisations) and fast-moving or early-stage settings Is comfortable working with ambiguity, evolving priorities, and high autonomy Enjoys solving problems without predefined answers Is collaborative, pragmatic, and motivated by building something new Project management experience is beneficial, but not essential. Growth Opportunity This role offers a clear pathway towards senior oversight. As the company grows, you will have the opportunity to: Identify, hire and oversee lab technicians to support in processing Build and mentor a growing scientific team Contribute to external partnerships, fundraising, and strategic planning Why This Role? This is a genuinely unique opportunity for a scientist who wants to: Stay hands-on in the lab while influencing company direction Work on high-impact technology Be part of a foundational team in a start-up environment Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.

Data Scientist / AI Engineer (TensorFlow, PyTorch) Required Our East Anglia based Global client seeks an experienced Data Scientist / AI Engineer with the following must have skills and experience Min of 3 years of commercial experience in a similar Data Science / AI Engineer role Essential technical skills: Technical Skills : Proficiency in programming languages such as Python , C++ , or Java . Deep knowledge of LLMs and natural language processing, including hands-on experience with transformer architectures (e.g., GPT, BERT, T5). Expertise in deep learning frameworks such as TensorFlow , PyTorch , or JAX . Strong knowledge of machine learning algorithms and their application to NLP tasks. Experience with cloud platforms such as AWS, GCP, or Azure for model deployment and scalability. Experience in building APIs, services, and infrastructure to support AI-driven applications. Experience : Experience in AI/ML engineering with a focus on LLMs and NLP. Proven track record of fine-tuning pre-trained models for various NLP tasks. Experience in MLOps and deploying machine learning models in production. Our client is offering a competitive salary including bonus and benefits Candidates must have excellent communication skills and be eligible to live and work in the UK without any restrictions Please note only candidates with all of the above will be considered for this role.

This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer

Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.

Head of Science - September 2026 or January 2027 Lead. Inspire. Transform. Are you an experienced Science teacher ready to take the next step in your leadership journey? Do you want to lead a thriving department within a prestigious Independent School where academic excellence, innovation, and holistic education are at the heart of everything? If so, we would love to hear from you. Position: Head of Science Location: Leatherhead, Surrey Start Date: September 2026 or January 2027 Salary: Competitive, dependent on experience About the Role We are seeking an ambitious and dynamic Head of Science to lead a successful and well-established department within a leading Independent School. This is an exciting opportunity to shape the strategic direction of Science across Key Stages 3 to 5, working alongside a highly collaborative team in exceptional facilities. The successful candidate will be responsible for driving academic excellence, fostering intellectual curiosity, and ensuring that pupils are inspired to achieve their full potential. The school is renowned for its outstanding pastoral care, broad co-curricular provision, and commitment to developing confident, well-rounded young people. What We're Looking For Experienced Science Teacher A strong classroom practitioner with a passion for Science and a track record of delivering excellent outcomes across one or more disciplines. Inspiring Leader Someone who can motivate colleagues, raise standards, and drive innovation across the curriculum. Outstanding Role Model A teacher who is committed to providing a first-class education and who values the importance of developing the whole child. Strategic Thinker Confident in using data and educational research to inform planning and lead departmental development. Qualified Professional QTS or an equivalent teaching qualification is essential, and previous middle leadership experience is highly desirable. Why Join This School? Exceptional Reputation Join one of the region's leading Independent Schools, recognised for its academic excellence and outstanding pastoral care. Supportive Leadership Work within a collaborative and forward-thinking senior leadership team committed to professional growth and wellbeing. Outstanding Facilities Benefit from superb Science laboratories, excellent resources, and access to a wide range of professional development opportunities. Career Development A fantastic opportunity to shape the future of Science education and further your leadership career within an ambitious and innovative school. Take the Next Step If you are ready to lead and inspire the next generation of scientists, this is an exceptional opportunity to make a lasting impact. Apply now or contact Louis Denison-Foster at Academics for more information.

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

We are looking for an AI Engineer / Data Scientist to work with one of our clients in the defence sector. You will collaborate with the Technical Lead, Engineers and Architects to design, build and deliver secure digital solutions in highly secure environments. We are looking for someone who has strong hands-on AI engineering experience building LLMs, SLMs and working on ML. You will need experience with graph databases, RAG and Microsoft Graph Retrieval. You will need experience working with geospatial data and large datasets, ideally over 100,000 objects with complex meta data and characteristics. Due to the nature of the work, candidates must be sole British nationals and be prepared to go through SC clearance and be on site 2 days a week.

MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to 537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to 537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. 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 (url removed)

AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to 110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex and high-profile environments. You'll work alongside highly skilled architects, engineers, and data specialists, helping organisations transform their data capabilities using cutting-edge AWS technologies and modern cloud architectures. The Opportunity As an AWS Data Solution Architect, you will take ownership of end-to-end solution design, translating business requirements into scalable, secure, and governed cloud data platforms. You'll lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience and cost optimisation. Implement CI/CD pipelines and Infrastructure-as-Code using AWS CDK, CloudFormation or Terraform. Lead cloud migration and modernisation programmes from legacy data estates to modern AWS architectures. Collaborate with stakeholders, engineers, data scientists and delivery teams to ensure successful outcomes. Desirable Experience Public sector delivery experience. Experience supporting AI, Machine Learning and GenAI initiatives. AWS certifications such as: AWS Certified Solutions Architect AWS Certified Data Engineer - Associate AWS Certified Security - Speciality Experience with: Terraform AWS CDK CloudFormation AWS CodePipeline AWS CodeBuild Git-based CI/CD workflows Security Clearance Requirements To be considered for this opportunity, candidates must be eligible to obtain Security Check (SC) Clearance . This typically requires continuous UK residency for the previous five years, alongside meeting other government security clearance criteria. Apply Now If you're passionate about designing next-generation AWS data platforms and want to work on impactful programmes that leverage analytics, AI and cloud innovation at scale, we'd love to hear from you.

Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.