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Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance

Python Developer - Insurance Analytics Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week). LCP is an award-winning actuarial and analytics consultancy providing market-leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future. We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award-winning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over £200bn of non-life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further. You'll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved. Our team consists of: 1 Product manager 4 C# developers 2 Python developers 1 Actuarial data scientist 2 Front end developers 1 DevOps and site reliability engineer 3 QA Engineers You will have the benefit of the guidance of our actuarial data scientists, Python developer and product manager, but also the opportunity to take ownership of your work. This is a mid-level role for someone looking to deepen their Python and software engineering skills whilst working in a domain-rich environment. Key Responsibilities: Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets) Review and provide feedback on code written by other developers, support mentoring and skill development across the team Champion best practices in software engineering including testing, version control, CI/CD, and OOP Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry-relevant features Research and prototype new technologies to support innovation and continuous improvement Contribute to a culture of curiosity, collaboration and technical excellence Skills and Experience: Strong Python development experience, with a track record of writing production-grade, maintainable code Experience working with large datasets and performance-critical workloads Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB Comfort with software-engineering best practices: automated testing, version control, CI/CD, OOP Proactive, problem-solving mindset with a focus on performance and user experience Exposure to actuarial or non-life insurance analytics, or an interest in domain-rich environment Experience picking up complex and unfamiliar analytical concepts Interested in applying? We'd love to hear about any Python projects or schemes of work you've contributed to. What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities For the environment: Electric vehicle salary sacrifice scheme (qualifying period applies) And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - email protected to discuss how we can support you with your application. Recruitment agencies LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs or candidate profiles from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the ri

Lead Data Analyst London, Hybrid (1-2x per week) Up to £65,000 This is an exciting opportunity to join a high-growth organisation where data science directly shapes performance marketing strategy. You will lead a growing data science function, drive long-term analytical programmes, and play a key role in delivering meaningful commercial impact for well-known consumer brands. The Company They are a specialist performance marketing and technology business known for combining deep analytical expertise with innovative data products. With a rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high-quality work that genuinely moves the needle for clients. As they scale, they are investing heavily in data science, experimentation, and advanced analytics. The Role As Lead Data Analyst, you will oversee a team of data scientists and work closely with senior stakeholders across analytics, data engineering, and technology. You will: Lead experimentation and measurement initiatives including incrementality testing, geo-based studies, brand lift approaches, and causal inference. Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting. Deploy models into cloud environments and integrate into advertising platforms including Google and Meta. Guide long-term analytical roadmaps and ensure projects drive measurable commercial impact. Partner with high-profile clients, often with direct access to raw data, applying rigorous analytical thinking to real-world marketing challenges. Mentor and support a growing team of data scientists as they expand through the year. Your Skills and Experience You will bring: Strong commercial experience with SQL. Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies. Hands-on experience with MMM, LTV modelling, and propensity modelling. Ability to deploy and maintain models in cloud environments and integrate with marketing platforms. Experience delivering impactful, long-term analytics or data science projects. Management or mentoring experience is desirable, but they are also open to strong individual contributors ready to step up. Exposure to attribution modelling is a bonus. What They Offer Salary up to £65,000. Hybrid working with one day per week in their London office. The opportunity to lead a growing data science function with genuine ownership and influence. Work with large-scale datasets from major consumer brands. A culture that invests in innovation, long-term thinking, and high-impact analytics. How to Apply If you are ready to take the next step in your data science career, apply today to find out more.

C++ Developer - Investment Tools and Signals Newton Colmore is looking for an experienced C++ developer with a strong interest in finance and technology to join a newly established investment team, developing cutting edge tools and algorithms. You will be working closely with quantitative researchers, and traders and fellow developers to create software that drives the company's investment strategies and delivers alpha across a broad spectrum of markets and instruments. This is a key hire for this team and your key responsibilities will include the development and maintenance of C++ applications for alpha signal generation and equity research, mixed in with building new tools for advanced data processing and multithreaded statistical analysis. You will also have the opportunity to help shape the future of this team as it grows. In terms of what the client is ideally looking for, they are searching for strong C++ expertise, coupled with industry knowledge and a naturally curious mindset. The Ideal industry experience would be from a hedge fund, proprietary trading firm or from a more general fintech background. The team like to hire people who are coachable and the ideal experience level for this role is 2-to-4 years. There is a degree of flexibility on this for the right candidate. The company can offer tailored compensation packages, which includes bonuses and a series of other benefits and provide the opportunity to work on cutting-edge technology and alongside some of the brightest minds in the industry. Your application will be confidential, and your details will only be shared with our client after our initial call and only with your expressed permission, if you feel you are a strong fit. Newton Colmore is a specialist recruitment consultancy, and we search for and introduce world-class engineers, scientists, and developers to impactful companies, globally. Get in touch if you would like to know more.

Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist

Director of Engineering Delivery Location: Cambridge / Hybrid Salary: Competitive + Benefits About the Company This is an opportunity to join an advanced AI organisation operating within a niche yet highly lucrative industry. The business has already established itself as a leader in its field, delivering cutting-edge solutions to complex, real-world challenges. Led by a highly experienced management team and supported by some of the brightest data scientists and engineers in the sector, the company combines deep technical expertise with commercial impact-offering a truly exciting environment for innovation and growth. The Role We are seeking a highly accomplished Director of Engineering Delivery to take ownership of the execution and delivery of complex, large-scale programmes. This role demands an individual who operates at the highest level of delivery excellence-someone who can consistently drive outstanding execution across sophisticated, enterprise-scale initiatives. You will play a pivotal role in ensuring that advanced software solutions are delivered with precision, quality, and pace, even within highly dynamic and evolving environments. Working closely with senior leadership, clients, and multidisciplinary teams, you will champion a culture of accountability, performance, and delivery excellence. About You - Extensive experience delivering and executing complex technology programmes to the highest standards, with a strong track record of outstanding delivery outcomes - Proven background operating at senior leadership level (e.g. Head of Engineering or equivalent) - Strong exposure across multiple technical disciplines, including Engineering, Software Development, DevOps, and/or Data Science - Demonstrable experience building and delivering enterprise-grade software solutions - Fully versed in the end-to-end product lifecycle, from concept and design through to delivery, deployment, and continuous improvement - An expert in resource planning, with the ability to effectively allocate and optimise talent across complex programmes - A career history that includes recognised or 'household name' organisations, reflecting exposure to high standards of delivery and scale - Comfortable leading multidisciplinary teams in environments that require rapid adaptability - Must be comfortable working closely with Senior Management on a regular basis, contributing to strategic decisions and business outcomes - Strong stakeholder management skills, with experience working closely with senior leadership and clients - Degree-qualified (Bachelor's, Master's, or PhD) in Engineering, Computing, or a scientific discipline, ideally from a Russell Group University - An engineering background (or similar) is highly advantageous, particularly with experience working on complex, data-rich systems and environments - A true engineering mindset with the ability to problem-solve and manage complexity at scale - Enjoys coaching, mentoring, and developing others to achieve high performance - A mindset suited to high-growth environments, with experience operating in organisations that have evolved beyond start-up phase but still require agility, pace, and adaptability to frequent change - We would expect a regular on-site presence (at least several days per week), so please consider this before applying Key Responsibilities - Lead the end-to-end delivery of complex, high-value technology programmes, ensuring exceptional standards of execution throughout - Drive a culture of delivery excellence and accountability across cross-functional teams including Engineering, Software Development, DevOps, and Data Science - Manage large-scale, enterprise software development initiatives from concept to deployment, with a relentless focus on quality, timelines, and outcomes - Operate effectively within fast-paced, dynamic environments with shifting priorities, ensuring consistent delivery performance - Collaborate closely with senior stakeholders, clients, and internal leadership teams - Act as a trusted adviser to clients on implementation, building strong relationships and ensuring successful outcomes - Potential for overseas travel in the future as part of client engagement and programme delivery - Lead, mentor, and inspire a diverse workforce, including both academic and industry professionals Why Join? - Work at the forefront of AI innovation in a highly specialised industry - Collaborate with world-class technical talent - Play a pivotal role in shaping and delivering impactful solutions - Join a business with proven success, strong leadership, and ambitious growth plans About Adecco Adecco is acting as an Employment Agency. We are proud to be an equal opportunities employer. We are on the client's supplier list for this role.

We are looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast, ethical, and cost-efficient. You will bridge the gap between Data Science prototypes and enterprise-scale deployment. Key Responsibilities AI Model design and build: Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems into centralized data platforms. Performance Tuning of AI/ models: Optimize data workflows and queries for performance, scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs. Utilizing vector databases for efficient storage and retrieval of embeddings generated by LLMs. rafting effective prompts to elicit desired responses from LLMs. Connecting LLMs and generative models with other systems and APIs to create comprehensive solutions. Communicate findings: Collaborate extensively with data scientists, and business during model development and deployment. Maintain updated documentation with details of all aspects of model development lifecycle. Responsible AI: Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy and reliability. Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Databricks Solution Architect (Azure / Lakehouse) Salary: Up to £90,000 + Bonus + Benefits Location: Reading - Hybrid (3 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Databricks Solution Architect to lead the design and delivery of modern, scalable cloud data platforms. This Databricks Solution Architect role will focus on architecting enterprise-grade Lakehouse solutions, designing secure and high-performing data frameworks, and driving data transformation initiatives across a complex Azure environment. Responsibilities for the Databricks Solution Architect: Design and implement scalable Lakehouse, warehouse and enterprise data architectures Build and optimise ETL / ELT pipelines using Azure Databricks Design data solutions using Azure Data Lake, Azure Data Factory and cloud storage services Lead greenfield Lakehouse framework implementations Define conceptual, logical and physical data models Establish data governance, security and compliance standards Implement partitioning, clustering and optimisation strategies for performance and scalability Collaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutions Contribute hands-on development using PySpark, SQL and Python Support CI/CD and DevOps practices using Git-based version control Present architectural designs to governance and review forums Essential Skills for the Databricks Solution Architect: Strong experience designing ETL / ELT pipelines using Azure Databricks Hands-on experience with Azure Data Lake and Azure Data Factory Strong experience implementing Lakehouse architecture in greenfield environments Strong knowledge of data modelling and enterprise data architecture Experience implementing data governance, metadata and security frameworks Experience working across enterprise-scale cloud data landscapes Strong understanding of performance optimisation and data management strategies Experience with PySpark, SQL and Python Spark Desirable Skills for the Databricks Solution Architect: Strong stakeholder management and communication skills Experience working within Agile delivery environments Experience collaborating with large cross-functional delivery teams Retail industry experience beneficial If you are an experienced Databricks Architect looking to shape enterprise-scale cloud data platforms within a modern Azure environment, this role offers strong technical ownership, large-scale delivery exposure and long-term career growth.

Job Title: Data Scientist Location: Cardiff Salary/Rate: (Apply online only) per day inside IR35 Start Date: June Job Type: Initial 12 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions. Job Responsibilities/Objectives This role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environments. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. Required Skills/Experience The ideal candidate will have the following: Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers. Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Have good understanding of statistical methods applied to data analysis. Have user experience of Cloud capabilities, preferred Databricks. Have user experience of coding languages for data science and machine learning (e.g. Python, R). Have good written communication skills, including the ability to describe statistical results to non-statistical audiences. Experience processing large data sets and matching/merging multiple data sets. 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.

Marketing Data Scientist London £45,000 to £55,000 + bonus and benefitsNo sponsorship offered - must have full right to work in the UK This is a rare opportunity to join a growing data science function at a pivotal moment for the business. With senior backing, fresh investment, and a clear focus on marketing effectiveness, this role offers real ownership, visibility, and the chance to shape how data science drives commercial decisions at scale. The Company They are a well established, international organisation undergoing a period of transformation, with a renewed focus on data driven decision making. A new leadership team is investing heavily in analytics to improve customer understanding, optimise marketing spend, and drive long term growth. The data science team has expanded rapidly and continues to grow across the UK and US, creating strong collaboration and progression opportunities. The Role You will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact. Key responsibilities include: Developing and enhancing media mix models to measure and optimise marketing investment. Scaling an established UK modelling framework and applying it to international markets. Leading the evolution of marketing effectiveness modelling, with support and one direct report. Working closely with marketing, CRM, and analytics stakeholders to turn insights into action. Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems. Owning projects end to end, from problem definition through to measurable business impact. Your Skills and Experience Strong hands on experience with Python and applied machine learning. Solid grounding in statistical and predictive modelling techniques. Experience designing experiments and evaluating performance using A B testing or similar approaches. Confidence working with real world, messy data and delivering production ready solutions. Familiarity with cloud environments such as AWS is beneficial. Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential. Ability to demonstrate how your work has delivered tangible value or influenced decision making. What They Offer Salary between £45,000 and £55,000 depending on experience. 10 percent annual bonus. Pension with 3 percent employer and 5 percent employee contribution. Hybrid working with 2 to 3 days per week in the London office. Clear progression as the data science team continues to grow and invest. How to Apply If you are looking for a hands on marketing focused data science role with ownership, impact, and urgency, apply now to be considered. Sponsorship is not available for this role.

Data Scientist Exeter, Devon (Hybrid-working minimum of x2 days in the office you must be based locally) c£55,000 per year Plus an excellent benefits package (including Pension, Bonus, Life Insurance, Healthcare, etc.) Skills and Experience: Expert proficiency in Python for data manipulation and automation is essential. You must be comfortable writing production-grade code, not just scripts. Advanced SQL skills for querying and transforming data from disparate sources. Hands-on experience with Spark (PySpark) or similar big data frameworks and working within distributed computing environments. Familiarity with cloud platforms, preferably Azure (Data Lake, Databricks, Data Factory). Experience using Jupyter/Databricks Notebooks for analysis and VS Code for pipeline development. Experience working in an agile environment using Git for version control to manage codebases and collaborative workflows. Design and implement models and algorithms Replace manual Excel and VBA workflows with robust automated python pipelines. You will be responsible for producing insights to ensure they run reliably without manual intervention. Translate complex datasets into clear interactive narratives that drive strategic action across all departments. The Opportunity: My client based in the sustainability sector are currently on the lookout for a Data Scientist on a permanent basis. My client is seeking a technical and hands-on individual to drive the evolution of their analytics capabilities. They want someone to help them move beyond traditional reporting. You will be responsible for building reproducible and code-first data products that power their internal decision-making and customer facing features. Finally, you will play a central role in the transition to an Azure-native stack from Legacy systems, and this new stack will be utilising Python, Spark and Cloud computing to automate complex workflows. Applications: Please contact John here at ISR to understand more about this great opportunity working as a Data Scientist at the heart of his client's expansion plans as they undergo a period of continued expansion as a result of increased market share as they release new products and services.

AWS DevOps Engineer (Data / BioTech)Oxford (1 day per month in office).£60-80k + Benefits. This role cannot offer Visa Sponsorship. Your new company I am exclusively recruiting an AWS DevOps Engineer for a fast-growing, clinical-stage life sciences organisation developing a first-in-class technology to tackle diseases, including cancer and autoimmune conditions.The business is privately funded, entering a critical growth phase, and investing heavily into its data and cloud capability to support scientific discovery and clinical delivery. With active clinical programmes underway, technology is a core enabler rather than a support function.You must be UK based and this role requires a minimum of 1 day per month in their offices in Oxfordshire. Your new role This role exists because science has moved faster than infrastructure. Your job is to build the platform that lets world-class scientists move even faster without breaking things. It's impact plus ownership at the point of scale.You will join a small, highly collaborative IT and data function, working closely with bioinformaticians and scientists to design and build a scalable, secure and reproducible AWS platform.This role sits at the intersection of DevOps, data engineering and scientific computing. You will own cloud infrastructure, CI/CD pipelines and workflow automation, enabling complex data and bioinformatics pipelines to run reliably, repeatably and at scale.You will play a key role in shaping data strategy, governance and reproducibility standards as the organisation grows from discovery into later-stage clinical development. What you'll need to succeed This is positioned as an experienced hire requiring 5+ years AWS DevOps Experience and a background supporting data-heavy or research-led environments.You will have strong experience with AWS architecture and infrastructure as code, CI/CD pipelines and automation, Docker and containerised workflows and Linux system administration.You will be the first dedicated perm DevOps hire reporting into the Director of IT, so will be confident making executive decisions and wearing more than one hat, in fact you'll relish it.Experience building data pipelines and supporting analytics platforms will be beneficial, as will an appreciation for data governance and reproducibility. What you'll get in return You will be joining a well funded, mission driven organisation at a pivotal stage of growth, where technology is central to scientific delivery rather than a support function.The company offers mainly UK remote working, 29 days annual leave plus bank holidays, private health insurance, good pension contributions and health and wellbeing allowance. There is a strong focus on trust, autonomy and sustainable working practices, with an environment that empowers engineers to make meaningful technical decisions early on. What you need to do now At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology.To find out more and to be considered for this position please apply directly. 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

Agentic AI Engineer Salary: London: £60,670 - £67,500 / National: £57,670 - £64,500. If the successful candidate is a current Civil Servant joining on level transfer, HM Treasury will honour their current substantive salary if higher. Contract Type: Temporary up to 12 months/ Loan (potential to become permanent) Working Pattern: This post is available on a full time, part time or job share basis, and flexible working hours can be accommodated. Location: London (1 Horse Guards Road) or Darlington (Feethams House) This role will play a critical part in shaping how HM Treasury designs, builds and governs agentic AI systems. About the Team The Data Hub is a centre of excellence for advanced analytics and data management in HM Treasury. Collaborating with partners inside and outside government, we implement the Treasury's data strategy through developing the organisation's data capability and driving data-led transformation across the department. The Hub also provides strategic coordination and support to teams within the department, bringing data tools and technologies to bear on new and existing data sources. It applies innovative methods to enable rich analysis and support HMT's departmental objectives, delivering new insights and improving decision-making. Within the Data Hub, this role will focus on the emerging use of agentic AI systems , working at the intersection of data engineering, AI capability and governance. You will join a multidisciplinary team of data engineers, data scientists and generalists who collaborate closely, value learning and knowledge sharing, and work on products used widely across the organisation. About the Job You will lead the technical back end development of agents used across the organisation, ensuring they are reliable, secure, well governed and aligned with departmental standards. The post holder will combine strong data engineering expertise with a good understanding of AI systems, security considerations, and the confidence to work with a wide range of stakeholders to support safe and effective deployment. We are not looking for you to have all the required skills already - however, we expect you to have a relevant background, skills and demonstrate the willingness and ability to learn as you go. Key accountabilities include: Design and build the technical back end for agentic AI systems , including data pipelines, orchestration layers and integrations, ensuring solutions are scalable, secure and maintainable. Establish and implement governance and technical controls for agentic AI , covering areas such as logging, monitoring, auditability, access control, and safe interaction with data and systems. Develop and maintain reusable agent frameworks and services , enabling teams across HM Treasury to deploy specialist agents efficiently and consistently. Work closely with security, data protection and architecture colleagues to ensure agentic AI solutions comply with organisational policies and wider government standards. Collaborate with policy, analytical and operational teams to understand business needs and translate them into robust technical solutions. Provide expert technical advice and guidance on agentic AI and supporting data infrastructure to colleagues across the department. Promote good engineering practice , including clear documentation, code quality, testing, and knowledge sharing within the Data Hub and beyond. Support capability building across the organisation , helping teams understand how to safely adopt and use agent-based AI solutions. About You We are looking for proven experience in designing and building robust back end systems, such as data pipelines, services or orchestration layers, that are scalable, secure and maintainable as well as having demonstrable experience applying technical governance and controls to complex systems, including areas such as logging, monitoring, audit-ability, access management and safe interaction with data. We would like you to have the ability to provide credible technical leadership and advice, including explaining complex concepts clearly, promoting good engineering practice, and supporting others to adopt solutions safely and confidently. Some of the Benefits our people love! 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King's birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month Flexible working patterns (part-time, job-share, condensed hours) Generous parental and adoption leave packages Access to a generous Defined Benefit pension scheme with employer contributions of 28% Access to a cycle-to-work salary sacrifice scheme and season ticket advances A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity For more information about the role and how to apply, please follow the apply link.

AI Security Engineer Location: UK (Hybrid / Flexible Working) Level: Senior Sector: Financial Services We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale. This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business. The Role As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation. Key responsibilities include: Acting as a subject matter expert on security engineering patterns and best practice Designing and implementing solutions to protect systems, APIs and sensitive data Performing security audits, vulnerability assessments and supporting incident response Driving the adoption of modern cryptographic technologies and techniques Developing, implementing and maintaining Identity & Access Management (IAM) solutions Ensuring security controls align with regulatory requirements and business objectives Influencing stakeholders and contributing to security policy, governance and risk mitigation Skills & Experience Required Strong programming and scripting skills (Python and Bash essential) Solid experience with cloud platforms - AWS and/or Azure Strong understanding of API development and security Experience designing or implementing security controls in complex environments Knowledge of, or strong interest in, data science and AI-driven systems Comfortable operating in regulated, enterprise-scale environments Able to communicate complex and sensitive technical topics to senior stakeholders Why Apply? Work on cutting-edge AI and GenAI security challenges Influence security strategy within a large-scale, enterprise environment High-impact role with strong visibility across engineering and leadership teams Flexible working arrangements and a strong culture of collaboration Competitive compensation and long-term career development

Senior Data Scientist. Are you a passionate data scientist with a knack for transforming complex data into actionable insights? Do you thrive in a vibrant environment where your analytical skills can shine? If so, we have an exciting opportunity for you. Our Client: Our client is a dynamic marketing, advertising, and public relations agency committed to delivering innovative solutions to a wide range of high profile clients. With a strong focus on data-driven strategies, our client celebrates creativity, collaboration, and excellence. What You'll Do: As a Senior Data Scientist, you will play an important role in shaping data strategy and driving impactful marketing decisions. Here's what you can expect: Lead Data Projects: Take charge of end-to-end data science projects, from hypothesis generation to model deployment. Collaborate Across Teams: Work closely with marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear and engaging manner, making data relatable and actionable. Mentor Junior Team Members: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaboration. What We're Looking For: Our client is seeking a talented individual with a blend of technical expertise and a flair for creativity. Here's what you should bring to the table: Experience: Minimum of 5 years relevant experience in data science or a related field, preferably within marketing or advertising. Technical Skills: Proficiency in Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Analytical Mindset: Strong problem-solving skills with the ability to interpret complex datasets and derive meaningful insights. Communication Skills: Excellent verbal and written communication skills, with a knack for storytelling through data. Education: A degree in Data Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). What you'll get in return Exciting Projects: Work on diverse and challenging projects that push the boundaries of data science in marketing. Supportive Environment: Be part of a collaborative team that values your input and encourages innovation. Career Growth: Our client invests in your professional development with opportunities for training, workshops, and conferences.

Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

AI Engineer Salary: up to £65,000 Location: UK based - Midlands preferred, but remote considered Type: Permanent I'm working with a growing fintech/scale-up that is building AI into a customer-facing product used within the affordability and financial services space. They already have an AI virtual assistant within the platform, but until now a lot of the specialist AI work has sat with an external partner. They've reached the point where they want to start bringing that capability in-house and are looking for someone who can help them build on what is already there. This is not a role for someone who wants to train their own LLM from scratch. It is more about taking existing LLMs and AI services, understanding how to use them properly, and building useful product features around them. The business is fairly open-minded on level. You might be a graduate with a year or two of experience, a Python developer who has started moving into AI, a Machine Learning Engineer, or a Data Scientist with stronger engineering habits. They are not expecting someone to have ten years of LLM experience, because realistically very few people do. What they do need is someone bright, practical and genuinely interested in building AI that works in the real world. You'll be working on the AI side of a product that helps users complete income and expenditure journeys. In simple terms, the customer can either fill in the form themselves, or interact with the virtual assistant, which helps capture and complete the information for them. That means the AI work has to fit into a wider software product. It needs to connect with the front end, work safely, be tested properly, and be built with security in mind from the start. The role will involve: Building and improving AI/LLM features using Python Creating quick proof of concepts to test ideas Taking the right ideas further into production Working with existing LLMs, APIs and AI services Thinking about guardrails, safety, hallucination risk and validation Building software in a secure way, particularly given the regulated nature of the product Supporting automated testing rather than treating testing as an afterthought Working in a DevOps environment where builds, releases and deployments are automated Understanding how the AI module fits into the wider product and customer journey The key things they are looking for are: Strong Python skills A good general understanding of LLMs Some exposure to GenAI, chatbots, NLP, RAG, prompt engineering or similar An interest in AI guardrails and responsible use of AI Good software engineering principles Awareness of security in modern development A willingness to test properly and automate where possible Some understanding of cloud platforms - Azure would be ideal, but AWS or GCP is fine The ability to learn quickly and work out the right way to use new technologies It would also be useful if you had experience with JavaScript, deep learning, LangChain, LlamaIndex, Azure OpenAI, OpenAI APIs or similar tools, but none of these are absolute requirements. This is probably best suited to someone who wants more ownership than they may get in a larger business. You'll be close to senior technology leadership, close to the product, and involved in shaping how AI is used rather than just being handed small pieces of work. The most important thing is mindset. They want someone who can build, test, learn quickly, and stay focused on why the feature is being built in the first place.