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Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a software developer with a keen interest in generating real-world impact with industrial applications. Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Existing interest in any of software automation, testing, or deployment. Understanding of software engineering best practices. Programming experience with any of C#, Rust, or other typed languages. Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have Relevant degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Previous applied experience, e.g. internships or research projects, with industry or in technology startups. DevOps experience with any of Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security. Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch). Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries. Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. the company is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do (60%) Support the development and testing of features, fixes and general improvements to the core the company product. Investigate and address production issues. (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £60,000 to £85,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our policy on equality, diversity and inclusion the company is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.

About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston, Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role We are looking for a Technical Talent Lead to own how we find, attract, and hire the people who build our frontier AI and biology research. You will run technical and research recruiting end to end, from the first conversation with a hiring manager about what a role actually needs, through sourcing, calibration, candidate experience, and close. This is a builder's role. We are growing intentionally, and you will shape the strategy, systems, and employer brand that let a small team hire exceptionally well without losing the things that make us a great place to work. You will be the person hiring managers trust to tell them the truth about the market, to reach the candidates nobody else can, and to make every step of the process feel considered. The talent you bring in will directly shape what research is possible here. Hiring the right research engineer, ML scientist, or platform engineer is not a support function at Basecamp Research, it is one of the highest-leverage things anyone can do for the mission. You'll work closely with our research, engineering, and platform leaders, partner with the wider People team on offers, onboarding, and headcount planning, and report to the VP of People. About You You have a strong track record of full cycle technical recruiting, ideally in house at a frontier AI lab, a deep tech company, or a high growth startup where recruiters are treated as trusted partners rather than order takers. You have experience nurturing a global network of world class talent and proven success hiring hard to find people: ML researchers and research engineers, software and platform engineers, and ideally scientific talent at the intersection of AI and biology. You know what excellent looks like in these populations, and you know how to reach it. You are an advanced sourcer. You can identify and engage passive candidates who are not looking, build pipelines from a standing start, and use the full range of tools, referrals, events, and creative outreach to land people on the right team. You act as a consultative partner. You develop hiring strategies alongside leaders, push back when something does not add up, calibrate searches properly, and manage expectations across the business with clear, data backed insight. You own the whole candidate journey and care deeply about the experience. From launching a search through interview design, prepping and guiding candidates, and offer negotiation, you make the process feel considered, fair, and fast. You bring structure without bureaucracy. You instinctively improve processes across the recruitment lifecycle, report cleanly on pipeline and funnel, and use data to make better decisions and tell better stories. You have a strong sense of employer brand, including running events, content, and outreach that strengthen our reputation in the AI and life sciences community. You are genuinely curious about biology and our mission. The work you'll be hiring for sits on top of billions of years of evolution, drawn from ecosystems most datasets never touch. You should find that interesting and not incidental. Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes beyond their job description. Nice to Have Enough familiarity with the technical and scientific domains we work in, such as distributed training, accelerators, genomics, or computational biology, to speak credibly to senior candidates. Experience setting up or improving hiring operations, including ATS, sourcing tooling, and reporting (for example Ashby, LinkedIn Recruiter and Juicebox). Experience building a talent function from an early stage, or mentoring and managing other recruiters as the team grows. What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics. Collaborative Culture: You'll be surrounded by world class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing in our people. We make coaching available to team members during steep growth journeys, and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace, and we make sure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions, so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.

the company ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details the company is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both the company and client environments. This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration. The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within the company and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both the company and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy Learning and Development At the company, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At the company, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. Through our newly launched Clinical Research Recruitment Service, we enable clinical research teams to find the right participants, faster. As this service grows, we have a unique opportunity to transform proven, expert-led recruitment workflows into scalable technology that enhances, rather than replaces, clinical judgement. Our ambition is to deliver increasingly seamless recruitment experiences for customers by building data led capabilities that capture what works best today and make it repeatable, reliable, and scalable tomorrow. In the near term, this means building better data foundations and tools that support expert-led recruitment as it works today. As we learn what can be reliably standardised, these capabilities will increasingly support more streamlined and self service ways of working for customers. Senior Data Scientist will help turn this ambition into reality by shaping the data foundations and technical capabilities we build. You will bring a strong understanding of clinical recruitment workflows and apply it to the design of data products, analytical services, and enabling infrastructure. Working closely with engineers and scientific and operational experts, you will help guide how our recruitment technology evolves, ensuring it delivers immediate value while positioning us for long term scale. What you'll do Work closely with science, data and engineering teams to understand how recruitment feasibility and cohort selection are delivered in practice, and how customers engage with these outputs Help translate existing recruitment workflows into clear data and technical requirements, supporting engineers to build capabilities that reflect operational and user needs Contribute to the development of data products and services that underpin recruitment delivery, from internal tools used by expert teams through to capabilities that may later support customer facing workflows Build and maintain production quality code, with a focus on trust, transparency, and fitness for use in a regulated environment Support early prototyping and iterative delivery, using hands on experience to inform what is ready to be standardised, automated, or scaled Define and document data requirements and pipeline logic, assumptions, and quality checks, working with others to ensure recruitment outputs remain reliable, interpretable and auditable as usage grows Collaborate with governance, privacy and compliance colleagues to ensure ethical, regulatory and data protection requirements are embedded into how data is used and shared Share insights from delivery, customer interactions and data usage to help inform priorities and sequencing as recruitment technology evolves over time This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science or advanced analytics within health, life sciences, or clinical research contexts Strong understanding of clinical research recruitment, feasibility assessment or cohort identification workflows, and how these are delivered in practice Experience working with real world health or clinical datasets (e.g. electronic health records, registries, or research cohorts) Ability to translate clinical and operational requirements into clear analytical and technical approaches Experience collaborating closely with software engineers on production systems, including contributing to the design of data pipelines or services Strong programming skills (Python preferred, SQL, and version control) with the ability to write maintainable, auditable code suitable for production use Familiarity with working in regulated or governed data environments, with an appreciation of ethical, privacy and compliance requirements Experience working in or alongside CROs, digital CROs, clinical research organisations, or clinical technology companies is desirable Comfortable working in ambiguous problem spaces, where requirements emerge through delivery, learning and iteration Able to communicate complex concepts clearly to both technical and non technical audiences, and to contribute effectively within cross functional teams Pragmatic, thoughtful and motivated by creating real world impact through collaborative problem solving. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real world responsibilities of this role Final stage competency interview (60 min) with a small cross functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real world projects Benefits Competitive base salary from £75,000 Generous Pension Scheme - We invest in your future with employer contributions up to 12% 30 Days Holiday pro rate + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at

Graduate Data Scientist Location: UK (London-based) Hybrid working: 3 days in the office Are you passionate about using data science, AI and analytics to solve real-world business challenges? At Branding Science Group, we're looking for a motivated Graduate Data Scientist to join our growing global Data Science team. Working at the intersection of data science, healthcare insights, technology and innovation, you'll help drive meaningful business change through automation, analytics and AI-powered solutions, while developing your technical expertise in a supportive and collaborative environment. What You'll Do Support data science initiatives that drive key business outcomes Assist in delivering our data strategy and improving access to internal data assets Build, maintain and enhance internal data science tools, pipelines and AI-powered applications Perform quantitative data analysis for client projects Identify and implement automation opportunities to improve business efficiency Support the rollout and adoption of new data and AI tools across teams Contribute to thought leadership activities, including LinkedIn content and conference presentations Help improve AI literacy and data science capabilities across the organisation Provide regular updates and reporting to senior team members What You'll Bring A Bachelor's, Master's or PhD in Mathematics, Statistics, Data Science or another numerate discipline A strong interest in applying data science to solve business problems Experience contributing to analytical, technical or machine learning projects through academic, internship or personal projects Understanding of statistical concepts including hypothesis testing, regression and p-values Experience coding in Python or R for data analysis, modelling or visualisation Strong analytical thinking and problem-solving skills Excellent communication skills with the ability to explain technical concepts to non-technical audiences Strong organisational and time-management skills A proactive mindset, curiosity to learn and high personal integrity Desirable Experience Experience building code-based technical solutions Exposure to AI or LLM applications (e.g. OpenAI or Anthropic APIs) Experience using Git or other version control systems Exposure to data pipelines, APIs and SQL databases Experience deploying internal or web-based data tools Why Branding Science Group? Join a collaborative, forward-thinking team that combines data science, AI, healthcare expertise and strategic insight to help clients and colleagues make better decisions. You'll have the opportunity to work on meaningful projects, develop in-demand technical skills, collaborate with global colleagues, and play a role in shaping the future of data science and AI at Branding Science Group. If you're ready to launch your career in data science and make a real impact

Adzuna is seeking a Senior Python Developer to lead a fast-moving team as a contractor. You will architect backend services, steer AI integrations, and guide the transition to a Python-based platform, collaborating with product managers and data scientists. We value strong Python fundamentals, hands-on leadership, and experience deploying ML/AI to production. Remote with UK business hours; often work asynchronously with a global team.

AlliedOffsets is a leading provider of data and technology solutions on the voluntary carbon markets. We have built the industry's first meta-registry of carbon offsetting projects, retirement transactions, corporate buyers, and intermediaries, in order to promote transparency and clarity for those looking to understand the carbon offsetting industry. Our data is used by some of the leading financial, academic, and professional services organizations in the world to analyze the market. Project developers also use our data to help new sustainable projects get off the ground, understand organizations to partner with, and create the right pricing structure for its offsets. Our mission is to make the carbon offsetting market more transparent, enabling more quality carbon offsetting projects from being launched, with more of the financial benefits flowing to the underlying communities that the projects operate in. Our products include subscription-based access to the database, bespoke client data gathering and visualization, and research reports for leading government and international development organizations. As our team grows, we are looking for a software engineer to come help us build on our success to date! The Role The role sits at the intersection of software developer and data scientist and gives you considerable responsibility and ownership of your path. At the core, it involves: Data engineering and analysis - extending the data pipeline which feeds our carbon market dashboard and bespoke analytics platform Developing the back-end code and infrastructure for the API - providing access to our offsets data to external clients Contributing to full stack projects, developing products both internally and for client - from web apps to visualize bespoke data requests, to more sophisticated apps that support the flow of alternative finance to emerging markets Responsibilities You will be working on the following: Extending and maintaining the codebase for the data pipeline which feeds into our carbon offsets database Data gathering, processing and analysis; researching and implementing ways to unlock data from new sources (public websites, APIs, .pdf reports, etc.) Building out the functionality of our public API: New features will include tighter integration with our data pipeline, and additional microservices to handle new client requests. Overseeing the implementation of security and DevOps best practices for the deployment of our products. Working closely with our researchers, clients and other developers to understand this fast-moving field. Setting the technical direction of the company moving forwards, in collaboration with senior management. Developing awesome products and tools for our clients: Examples include building bespoke data dashboards or custom clients to integrate with our API. We always have new and interesting projects that promote international development and sustainability! Technologies The current team works primarily with Python (for data engineering, analysis and back-end development) and JavaScript (for front end development). We are looking for a candidate with strong experience in Python, and knowledge of JavaScript is a definite plus. In terms of web frameworks, past projects have typically used some combination of Flask, Django and Vue. But ultimately we want to use the right tool for the job, and in this role you will have significant opportunities to shape our tech stack, moving forwards. Depending on the candidate's interests, there will be room to work with our other developers on the application of machine learning tools to extract and model data (e.g. PyTorch, TensorFlow). Minimum Qualifications We are looking for a candidate with at least 3 years of professional experience as a back end developer. Some flexibility on this is possible if you've worked on similar projects, either professionally or on sustained independent projects (if so, please share details in your application - links to github etc. are welcome where possible!) Significant experience with data engineering, or working on data-intensive back-end applications which involve cleaning and processing complex data. Experience maintaining, building and deploying rest APIs with frameworks like Flask, Django or FastAPI. A solid understanding of relational databases, and experience with or willingness to learn PostgreSQL. Solid experience of security best practices for developing and maintaining APIs, and potentially handling sensitive data. Solid DevOps experience with at least one modern cloud hosting platform that's appropriate for our products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively on both technical and non-technical levels, and to cultivate a supportive environment for more junior developers. If you don't quite tick all of these boxes, but feel as though you would be a good fit for this role, feel free to get in touch and we'll be happy to discuss further. Preferred Qualifications Experience with Vue or other similar JavaScript framework Experience with simple NLP methods using Gensim and scikit-learn Knowledge of testing methodologies and an uncompromising ethic around automated testing Experience with microservices architecture Perks Coming on board in the early stages of a startup with tremendous growth potential Joining a small, agile team with flat hierarchy and freedom to shape the role Having considerable autonomy to work on side projects Budget toward new computer Flexible working or office in central London, when desired Competitive salary Workplace pension

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to help organisations harness the potential of Artificial Intelligence safely, responsibly, and at scale. Join our Digital & Data team working alongside AI specialists, data scientists, engineers, cyber security experts, risk professionals, regulatory specialists, and cross disciplinary teams to help clients unlock value from AI while managing associated risks. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be helping clients design, implement and operationalise AI governance frameworks, as well as contributing to internal initiatives. Support clients in navigating emerging AI regulations, standards, and guidance while enabling innovation and business value. Facilitate workshops, governance forums, risk assessments, and operating model design activities with senior stakeholders. Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams. Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. You must be an established consulting professional with experience delivering projects focused on AI governance, responsible AI, AI risk management, model governance, or emerging technology regulation within the private sector. Ideally, you should have experience consulting with Life Sciences, Government or Consumer & Manufacturing sector clients. Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. You thrive in problem solving and analytical thinking. You enjoy collaborating with multiple stakeholders in a fast paced environment. Proven experience with AI governance frameworks, policies, controls, and operating models. Experience interpreting and applying AI related regulations, standards, and guidance, such as the EU AI Act, NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, ISO/IEC 23894, OECD AI Principles, and emerging regulatory requirements. Experience conducting AI risk assessments, model governance reviews, algorithmic impact assessments, or responsible AI evaluations. Familiarity with AI lifecycle governance, including controls relating to model development, validation, deployment, monitoring, explainability, transparency, accountability, and human oversight. Experience working with Generative AI technologies and associated governance considerations, including data usage, intellectual property, security, privacy, bias, and model risk. The ability to efficiently understand client organisations and their business models and to tailor AI governance approaches to their strategic, operational, and regulatory requirements. The ability to communicate effectively with different stakeholders (e.g. business, legal, compliance, risk, IT, security, data science, and engineering teams) on AI governance and responsible AI matters. An analytical mindset, with a focus on producing quality work in a results oriented environment. Desirable qualifications and experience Experience implementing governance tooling, AI inventory solutions, model risk management platforms, or GRC technologies. Experience with data governance, privacy, cyber security, model risk management, or technology risk disciplines. Knowledge of machine learning and Generative AI technologies, including Large Language Models (LLMs). Possession of relevant certifications such as ISO 42001 Lead Implementer/Auditor, IAPP AIGP, CRISC, CISM, CISSP, AWS/Azure AI certifications, or equivalent. Where you do not have the qualifications, we will support you in achieving them. Experience defining AI governance processes, committees, policies, standards, controls, and reporting frameworks. Experience supporting AI governance programmes within highly regulated sectors is preferred. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard; however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA. Round 1: Either a competency or technical interview (60 mins). Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins). Final round: Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins). Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. Find out more about Life at PA here. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family. 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days. Generous company pension scheme. Opportunity to get involved with community and charity based initiatives. Annual performance based bonus. PA share ownership. Tax efficient benefits (cycle to work, give as you earn). We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on .

About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are looking for an experienced Senior Data Engineer to join our team here at Solirius.You will be working as part of a team, developing and delivering exciting projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Key Responsibilities: Develop Data Engineering solutions for our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams to identify andaddress data-related issues and opportunities. Stay updated with the latest trends and developments in the data engineering field,such as modern data stack, big data technologies, cloud computing, etc Assist with defining the processes needed to achieve operational excellence Ensure data quality across all projects/clients Define and manage SLA's for data sets and processes throughout production Lead on the design, build and launch of new data models and pipelines Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Cycle to Work and Electric Vehicle schemes Flexible Working Annual Away Days/Company Socials Diversity and Inclusion As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You'll Do Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and - when needed - C++. Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability. Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities. Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long term roadmap for the Windows platform. Take ownership of full lifecycle of features: conception design implementation testing release maintenance. Ensure quality, reliability, and consistency across releases. Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems - and propose robust architectural or design solutions. An ideal candidate should have Required 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML - and ideally additional experience with native Windows code (C++, Win32/WinRT/COM). Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code. Proven track record of designing, building, and shipping production quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability. Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software. Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi threading or asynchronous programming (where relevant). Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture level decisions. Strong communication skills; ability to articulate tradeoffs, collaborate with cross functional teams, and drive consensus. A user centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus Experience with writing automated tests for UI - unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks. Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high DPI support, responsiveness under load). Experience with localization/globalization, right to left UI support, internationalization, accessibility for multiple regions. Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications. Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications. Demonstrated ability to take ownership of feature areas or modules and drive them long term, including maintenance, refactoring, and technical debt management. What we offer A high impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience. A collaborative, flat structure engineering culture - you are not just a coder, but a builder and a decision maker. Opportunities to lead - mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect). Flexibility, autonomy, and responsibility: you define how to solve problems, own features end to end, and contribute to long term product vision. A purpose driven mission: building software that's reliable, accessible, and user centered - making a real difference for people. Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Synthesia, the world's leading AI video platform, is hiring a Senior Data Scientist (L5) to join the Product Data team. You will analyse unstructured conversation data at scale to uncover patterns that drive product decisions and improve adoption, retention, and cost efficiency. You will design evaluation frameworks, build semantic models, and work with Product and Engineering to close the loop between insights and action.

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Role Purpose We're looking for a Senior Data Scientist (L5) to join our Product Data team collaborating with our Product Analysts to build deep understanding of how users engage with our AI-native products through conversation and interaction data. You will work at scale with unstructured text data - prompts, model outputs, user edits, feedback - to discover patterns that explain user behaviour and directly shape what we build next. The focus is on semantic analysis of conversations: understanding intent, identifying failure modes, detecting successful interaction patterns, and translating these insights into specific product improvements. This is hands on analytical work, not infrastructure-focused. We need someone who can analyse messy conversation data, discover non-obvious patterns, and connect those findings to product decisions that move the needle on adoption, retention, and cost efficiency. For exceptional candidates with track records of leading analytics in AI-driven environments, we are open to hiring at Principal level, where you would set the broader data science agenda and mentor the existing analytics team. What You'll Do Build product evaluation frameworks Define how we measure "good" for AI-native features beyond traditional funnels. Build semantic frameworks to categorise user intent, model behaviour, and interaction patterns - e.g., "What types of prompts succeed vs. fail? What causes users to retry? What signals indicate satisfaction?" Design feedback loops that connect prompts, model outputs, user behaviour, and downstream outcomes. Define, track, and own the metrics that leadership and product teams depend on for a shared, trustworthy view of what is working and what is not. Analyse user-AI interactions at scale Work with large conversation datasets to deeply analyse how users interact with AI features (prompts, edits, retries, acceptance, abandonment). Identify failure patterns, unnecessary iteration loops, and the characteristics of successful interactions. Build models that answer the questions dashboards cannot: what predicts a good user outcome, what drives failure, and where the highest-leverage improvements are. Shape the product roadmap Turn findings into specific, prioritised recommendations that feed directly into the product roadmap. Partner with Product and Engineering to evaluate iterations quickly and close the loop between insight and action. Run experiments end-to-end: design, instrument, analyse, and translate results into clear product decisions. Drive growth and financial metrics Link AI feature usage to activation, retention, expansion, and cost efficiency. Help answer questions like: Which interactions create durable value? Where are we over spending compute for low user impact? Build infrastructure and raise the bar Build pipelines, dashboards, and self-serve analytical tools that make insight accessible and trustworthy across the organisation. Mentor a team of product analysts, raising the technical bar and introducing new methods where they add real value. What We're Looking For Experience Significant experience (ideally 5+ years) in Data Science, Product Analytics, or a similar role with conversation, chat, or dialogue data at scale. You have actually analysed large volumes of user text (prompts, messages, feedback, reviews) to discover patterns that shaped product decisions. Experience working closely with Product and Engineering teams. Hands on experience working with AI/ML-driven products (LLMs, ranking, generation, recommendations). You have worked on these systems, not just alongside them. Skillset Strong applied modelling skills: regression, classification, clustering, survival analysis, or similar. You pick the method that fits the question, not the other way around. Deep expertise in experimentation design and statistical inference. You can design a valid experiment, choose the right test, and explain the results to a non-technical audience. Fluency in SQL and Python. Comfortable working with large, messy, high-dimensional interaction data and building reproducible analysis pipelines. Ability to design pragmatic evaluation metrics where ground truth is fuzzy. Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar. Clear communicator who can influence without authority. Nice to Have Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar). Experience working with NLP, text analytics, or unstructured data at scale. Experience building semantic search, relevance scoring, or interaction-based evaluation systems. Familiarity with prompt analytics, embedding-based analysis, or clustering user behaviour. Track record of influencing product strategy at a senior level, not just delivering analyses. Experience mentoring or technically leading other analysts or data scientists. Our culture At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Benefits You will be compensated well with a generous salary and equity Flexible, remote-friendly role for team members working in UK/Europe You get 25 days of annual leave + local holidays Regular team offsites where you'll get to collaborate with the product & engineering team in person Work from home budget "Work from anywhere" up to 60 days per year Generous referral scheme of up to $10,000 USD for each successful referral

Gamma Communications plc is seeking a skilled data scientist to design, build and own end-to-end ML and analytics solutions in a Snowflake-centric environment. You will translate business problems into production-grade models that drive retention, growth and commercial decisions. You'll develop trusted data models, collaborate with product, engineering, marketing, finance and commercial teams, and mentor the data squad to raise analytics standards across the organisation.

Solirius Reply, part of the Reply Group, is a technology consultancy delivering data-driven solutions across public and private sectors. We seek a Senior Data Engineer to design, build, and maintain robust data pipelines and models that power analytics and machine learning. You will collaborate with data scientists, analysts and cross-functional teams, ensuring data quality, governance and scalable architectures in cloud environments. A passionate, agile professional will thrive here.