37 jobs found

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 an early-career software developer or recent graduate with a keen interest in generating real-world impact with industrial applications. Must have: A recent degree in a STEM field (e.g., engineering, physics, mathematics, computer science). 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. 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: Understanding of software engineering best practices. Some exposure to applied experience, e.g., internships, research projects, or personal projects. Familiarity with DevOps tools like 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. Quaisr 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 You will have opportunities to contribute to exciting projects and grow your career in a supportive environment: (60%) Support the development and testing of features, fixes and general improvements to the core Quaisr 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 £45,000 to £55,000 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 hiring process (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you. (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think! (60 mins) Online coding exercise (with a Quaisr team member on the call) covering basic software development concepts. (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV (max 2 pages) to . Our policy on equality, diversity and inclusion Quaisr 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.

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.

About Friend MTS Friend MTS is the world's leading provider of content protection and anti piracy solutions. We help the biggest brands in media, sports, and entertainment - including global broadcasters and sports leagues - protect their high value content. Through Emmy Award winning forensic watermarking and real time monitoring, we disrupt piracy at its source. The Role As a Junior Data Scientist, you will join our growing Data Science team to help us turn vast amounts of streaming and network data into actionable security intelligence. This is a unique opportunity to work on real world problems where your models directly contribute to identifying illegal activity. While we operate in a niche industry, we are looking for a generalist Data Scientist; no prior experience in anti piracy or media security is expected. There is a wide variety of work across the business, ranging from data analysis and optimisation to modelling in multiple different areas. You should be comfortable pivoting between different types of data problems as the business evolves. This is a hybrid role that offers location flexibility, allowing you to be based at either our London or Birmingham office. You will be required to comfortably commute to your designated office location at least twice per week. Key Responsibilities Data Analysis & Exploration: Clean and process large datasets to uncover insights and trends within the noise of global streaming traffic. Prototyping & Visualization: Build internal tools and interactive dashboards using Plotly and Streamlit to communicate findings to technical and operational teams. Modelling & Optimization: Develop and apply various machine learning and statistical models to solve diverse business problems. Collaborative Development: Partner with our engineering teams to ensure models are robust and ready for real world application. AI Integration: Actively leverage modern AI coding assistants to accelerate development and maintain high code quality. Required Skills & Qualifications AI Assisted Development: Deep experience leveraging AI tools daily for co pilot programming is a must (e.g., Claude Code, GitHub Copilot, etc.). You should be highly efficient at using these tools to write, debug, and optimise code. Programming: Strong, professional level proficiency in Python is essential. Cloud Platforms: Familiarity with cloud environments, specifically AWS (S3, etc.). Education: A recent degree (BSc, MSc, or PhD) in a quantitative field such as Data Science, Computer Science, Mathematics, Physics, or Engineering. SQL: Solid ability to query and manipulate relational databases. Problem Solving: A structured approach to tackling complex problems and an ability to think "outside the box" when looking at varied datasets. Desirable (But Not Essential) Anomalous Pattern Detection: Experience or interest in identifying outlier behaviour and suspicious trends. Computer Vision: General interest or experience in Computer Vision. Big Data: Experience with Big Data tools such as PySpark or Databricks. Communication: Ability to explain technical findings clearly to stakeholders. What We Offer 25 days of annual leave (Incl. Bank Holidays) + 1 day off for your birthday Enhanced Pension - 5% employee and 5% employer contribution Life Assurance - on the successful completion of your probation (4 your salary) BUPA (on the successful completion of your probation) Employee Assistance Programme Enhanced Maternity, Paternity and Adoption Leave (after a qualifying period) Various Learning and Development Platforms A flexible Benefits and Wellbeing Platform Full tech set up to ensure you have what you need to be successful in your role Weekly breakfasts in the office Mentorship: Direct access to senior data scientists and engineers in a supportive, high growth environment. Impact: The chance to work on technology that protects some of the most valuable media rights in the world. Growth: A clear career progression path within a private equity backed, global tech company. Here at Friend MTS, we are dedicated to nurturing and expanding a culture of belonging where everyone feels seen, heard, valued for who they are. By embracing the diversity of our people (and future people!) we achieve our best work, together. We ensure that at all stages of our hiring process, your education level, neurodivergence, background, race, religion, colour, sex, age, sexual orientation, national origin, or disability will not influence your chances for selection. If you are interested in applying for a role at Friend MTS and need special assistance, please make us aware and we will support you in accommodating this.

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. Location Any cities with Axon Engineering Hub in US, Vietnam, EU. EU locations include Tampere, Finland; London, UK; Brussels, Belgium. Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges. Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match. Discretionary paid time off. Paid parental leave for all. Medical, Dental, Vision plans. Fitness Programs. Emotional & Mental Wellness support. Learning & Development programs.Snacks in our offices. Location Details This role is based out of our London, UK office and follows a hybrid schedule. We rely on in person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in office culture is designed to support meaningful teamwork and mentorship. Equal Opportunity Employment We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

About the Role As a Junior Machine Learning Engineer at Recraft, you will have the opportunity to work on real world AI applications, gaining hands on experience in model development, data collection, evaluation, and production deployment. You will collaborate with research scientists, engineers, and product teams to help enhance Recraft's AI driven creative tools. If you are passionate about machine learning, deep learning, and AI driven applications, this is a great opportunity to learn and contribute to impactful projects. Key Responsibilities Assist in training, testing, and evaluating machine learning models for real world applications. Support data collection and processing for model development. Conduct experiments and model evaluations, helping improve accuracy and efficiency. Develop and train large scale generative models, pushing the boundaries of AI capabilities. Work closely with ML engineers and researchers to implement AI techniques into production workflows. Stay updated with the latest trends in AI and deep learning, contributing fresh ideas to the team. Qualifications Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Machine Learning, AI, or a related field. Reliable Python coding skills. Knowledge and understanding of foundational deep learning concepts, possibly in application to computer vision, NLP, or speech synthesis or recognition. Experience with data preprocessing and model evaluation. Familiarity with MLOps tools is a plus. Strong analytical skills and ability to work in a collaborative, fast paced environment. What We Offer Real ML work from day one - not toy tasks, but production systems that solve actual problems. Close mentorship from engineers and researchers who've built and shipped AI at scale. A front row seat to how AI products grow: you'll see the full picture, not just your corner of it. A team that debates ideas, moves fast, and genuinely enjoys what it builds. Full time, on site in London - because the best breakthroughs still happen in the same room. Skilled Worker visa sponsorship available for the right candidate.

Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state of the art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see ) EU: Tampere, Finland or London, UK or Brussels, Belgium Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Fitness Programs Emotional & Mental Wellness support And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Founded in 2018, Causaly's AI platform for enterprise scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the team We're hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one stop shop for a researcher's needs. We're looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day to day exploration. What you'll be doing Design and implement ML/AI solutions end to end, from the idea and data exploration phase to deployment and monitoring, balancing cutting edge techniques with pragmatism to deliver measurable impact. Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM based solutions, and agentic solutions to balance trade offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user facing features powered by AI. Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real world performance tracking. Mentor junior AI engineers and cross functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high trust, high performance team culture. Stay up to date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. Contribute to a culture of knowledge sharing, through company wide Slack channels, Show and Tell presentations and technical deep dives. What experience you'll need to be successful A master's degree or above in Computer Science, Electrical Engineering or a related field. 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine tuning. Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. Experience working in product focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively. Ability to reason about system behavior end to end, including model performance, latency, and observability, and how these impact user experience. Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you also have: Experience with MLOps/LLMOps frameworks and best practices A PhD in Computer Science, Electrical Engineering or a related field. A background or work experience in life sciences, health tech, or other data intensive domains Benefits Competitive compensation package Private medical & dental insurance Life insurance (4 x salary) Personal development budget Individual wellbeing budget 25 days holiday plus bank holidays Your birthday off! Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.

Job Summary The Senior Data Engineer role is a unique opportunity to help build a world class global data platform. You'll be responsible for delivering products for our internal customers, designing, implementing, and maintaining complex data pipelines and infrastructure that will give RES a competitive edge. The Senior Data Engineer will be required to build relationships and collaborate with key stakeholders. Accountabilities Architect build, implement and operate reliable, secure and observable data pipelines and curated datasets that power enterprise reporting, analytics and AI/ML use cases. Take ownership of engineering quality, automation and performance across the data platform, partnering with architecture, governance, modelling and reporting teams to deliver end to end data products. Lead and directly line manage the data engineering team driving a high performing team, accountability, innovation and the latest technology for automation, cost efficiency and innovation. Implement robust engineering standards and lead delivery of and oversee curated datasets with strong data quality controls and monitoring. Drive observability and optimise performance and cost. Lead work across IT leadership, business domains and source system owners and integration teams to onboard new sources and validate extracts. Lead incident response strategy and implementation and continuous improvement for BAU operations; drive root cause remediation. Drive technical decisions, evaluate new technologies and tools, and contribute to the continuous improvement of our data ecosystem. Build our Data Platform and solve complex data problems to deliver insights helping to build our trading data platform. Foster a culture of sharing, mentor junior engineers, provide guidance, and drive excellence. Convert data engineering and architecture best practices in the Data and Engineering teams, building a data culture based on the highest quality and reliability standards. Lead AI/ML use cases by producing feature ready datasets and supporting data scientists with efficient data access patterns. Skills Leadership (this is a senior role where your leadership and mentorship skills are important to the success of the wider team). Advanced skills in Microsoft stack including Azure, Fabric, Synapse, Purview and Power BI. Expert in data engineering tools and technologies including SQL, Python and others. Strong problem solving skills, operational mindset and ability to mentor, lead, train and QA engineers work. Innovation in the latest technologies for best practice engineering, including data and AI/ML. Strong, clear communication and stakeholder management and reporting of risk, change and impact. Enthusiastic about helping juniors develop and grow. The ability to thrive in this role which demands technical and data driven results. Skilled in data engineering for AI/ML initiatives. Qualifications and Experience Degree in a relevant field directly related to data. Significant experience delivering enterprise grade data engineering solutions in production environments and leading teams to deliver high performance outcomes. Proven experience as a Senior Data Engineer, with a strong portfolio of building real time data systems and teams using modern approaches. Extensive experience of working with Data and Analytics teams that provide in depth analytics reporting capabilities across the business. Previous experience leading a small engineering team is essential, as is hands on current technical engineering experience. Extensive experience with Python including open source data libraries and frameworks and messaging systems, along with proficiency in building out modern data warehouses. Azure mastery: Deep expertise in the Azure Ecosystem, specifically Azure Data Factory (ADF), Synapse, Unity Catalogue, Fabric, Purview: data lakes/lakehouse, data quality and testing frameworks and automation. Leading and maintaining security and privacy by design: access controls, handling of PII, auditability. Working knowledge of AI and machine learning data requirements. Demonstrated ability to lead and improve reliability, cost, performance and maintainability of data platforms. Building quality global datasets for BI and analytics consumption from many ingestion sources and leading/coaching and setting guardrails for regional data/analytics engineers and advising on projects. It is mandatory that you have proven experience in IFS (RES's enterprise ERP system) and extensive experience in financial and human resources data and engineering in a global context. Working with third party data providers and ingesting real time data feeds. At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.

Location: Erskine, Scotland - Hybrid Security Clearance level: SC Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over. DXC Technology (DXC: NYSE) is the world's leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company's technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. About the Role We're seeking a passionate and skilled Machine Learning Engineer to join our growing team. You'll play a key role in designing, developing, and deploying scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting edge technologies and contribute to impactful projects in a collaborative, innovation driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross functional teams to integrate AI solutions into scalable products. Ensure best practices in data engineering and contribute to architectural decisions. Contribute to the mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, and PyTorch. Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe. Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines. Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem solving skills and ability to work independently or in a team. Demonstrated relevant industry experience, including time spent in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization. Continuous learner that stays abreast with industry knowledge and technology. Why Join Us? Work on impactful AI projects with real world applications. Be part of a collaborative and forward thinking team. Access to continuous learning and development opportunities. Flexible working arrangements and a supportive work culture. Ready to shape the future of AI? Apply now and bring your expertise to a team that values innovation, creativity, and excellence. Join us today!

Staff Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape Research group strategy and culture in a significant way, especially in domains of expertise. Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. Define necessary profiles to execute this strategy. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. Own Research work-streams at a high-level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. The below activities in particular. Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: scientific computing; high-performance computing (CPU / GPU clusters); parallelised / distributed training for large / foundation models. 4 years of experience in a professional industry setting, where you have been instrumental in most of the below: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); employing cloud computing (on hyper scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; building or using C/C++ for computer vision, geometry processing, or scientific computing; following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container ising and orchestrating compute tasks (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

About Junior We're building cutting edge LLM powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of 28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. Role Description We've built Junior this far through strong product instincts, speed, and founder intuition, but instinct only gets you so far As our first dedicated data hire, you'll build the analytics foundation that helps us understand what's really driving the business - what users love, what makes customers retain, where deals are won/lost, and where we should focus next. You won't just be building dashboards. You'll be helping shape how one of the fastest growing AI startups in NYC actually makes decisions. This is a foundational role with massive visibility and ownership. Sample set of projects Feature adoption & engagement analysis: identify which features drive retention and which are dead weight - slice by firm type, user role, and tenure to give our Product team clear prioritisation signals. Churn & health scoring: build a customer health model that scores accounts by risk using product usage signals (logins, feature depth, search volume) and flags at risk accounts to Customer Success before they churn. CRM data quality & enrichment: audit and clean our CRM data, build pipelines to keep it in sync with product usage, and ensure our Sales team always has accurate, up to date context on every account. Sales funnel analysis: map our full acquisition funnel from first touch to closed won, identify where deals are stalling, and surface the product usage patterns that predict conversion. Executive reporting: build a weekly data digest for leadership covering revenue, usage, pipeline health and key anomalies - replacing ad hoc spreadsheets with a reliable, automated view of the business. About You We're looking for a data scientist who loves getting into the detail of how a product is actually being used and translating that into decisions: Based in NYC, and excited to be in office 5 days / week Strong data analytics skillset: SQL; Python for data wrangling, analysis and visualization (pandas, matplotlib / plotly etc); BI or dashboarding tool - Metabase, Looker, Tableau, or similar AI-forward: experience vibe coding and using AI tools Relevant prior experience Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent - comfortable with event level data and funnel analysis Experience working directly with CRM or similar data Bonus points for experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary widely Strong communicator who can tell a clear story with data - our commercial stakeholders are smart but non technical, and they'll rely on you to make the numbers make sense Self directed and comfortable with ambiguity - there's no existing data team to hand off to; you'll define the questions as often as you answer them. Why This Role Real ownership: You'll be the first data hire. You're not inheriting legacy dashboards or maintaining old reports - you're building the foundation from scratch. Direct impact: Your work will influence product roadmap, sales strategy, customer success, and executive decision making. Massive upside: We're already at $15M+ ARR and scaling quickly. The systems you build now will support the next 10x of growth. Strong business fundamentals: Profitable, bootstrapped, and growing fast - no investor theatre, no fluff, just real traction. Benefits All the usual benefits (competitive pay and equity, private healthcare etc), but also unusual benefits: Incredibly strong equity Gym membership In office cook Summers working in Greece by the beach

Location: Erskine, Scotland - Hybrid Security Clearance level: SC Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over. DXC Technology (DXC: NYSE) is the world's leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company's technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. About the Role We're seeking a passionate and skilled Machine Learning Engineer to join our growing team. You'll play a key role in designing, developing, and deploying scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting edge technologies and contribute to impactful projects in a collaborative, innovation driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross functional teams to integrate AI solutions into scalable products. Ensure best practices in data engineering and contribute to architectural decisions. Contribute to the mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, and PyTorch. Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe. Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines. Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem solving skills and ability to work independently or in a team. Demonstrated relevant industry experience, including time spent in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization. Continuous learner that stays abreast with industry knowledge and technology. Why Join Us? Work on impactful AI projects with real world applications. Be part of a collaborative and forward thinking team. Access to continuous learning and development opportunities. Flexible working arrangements and a supportive work culture. Ready to shape the future of AI? Apply now and bring your expertise to a team that values innovation, creativity, and excellence. Join us today!

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real world impact here . We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help firms become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for meaningful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. About the role As a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients. This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation. What you'll be doing: Creating reliable, reusable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems. Leading engineers within cross-functional teams-alongside Data Scientists and Product Managers-to deploy technically sophisticated, high-impact software. Designing and architecting robust project frameworks that maintain a balance between rapid prototyping and long-term maintainability. Mentoring junior engineers by providing technical guidance, conducting code reviews, and fostering a culture of engineering excellence. Acting as the primary technical authority for full-stack development within your delivery unit to ensure best practices are met. Providing deep technical expertise to customers, helping them navigate complex requirements and architectural scoping. Who we're looking for: You bring extensive experience in TypeScript and modern frontend frameworks like React or Vue, paired with a strong eye for intuitive UI/UX design. You possess solid backend development skills in Python or TypeScript frameworks (such as FastAPI, Flask, or Django) and are comfortable managing the full application lifecycle. You are experienced in deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker. You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution. You thrive in autonomous, fast-paced environments where you can take full ownership of problems and collaborate directly with clients to define technical strategy. You are a compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies. Our Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here . We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help firms become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for meaningful innovation and are proud to set the gold standard for marrying technical excellence with safe deployment. About the role As a Principal Data Scientist at Faculty, you will serve as a technical leader and domain expert who owns and drives the delivery of the most technically complex, high impact projects and programmes for our most important clients. You also will set the technical direction for the data science team, mentor, and develop them so our data scientists remain best in class. This position focuses on deep individual contribution and technical excellence, influencing the broader data science community at Faculty. What you'll be doing: Serving as a technical authority on machine learning, Generative AI, and other advanced data science methods to deliver innovative and impactful solutions. Leading the development of shared resources, frameworks, and best practices adopted across teams and the company. Contributing to the scoping and bid processes for large scale, high stakes projects, influencing client decisions with technical expertise. Owning a portfolio of work within a specific sector, applying expert knowledge to deliver exceptional value to clients. Leading and mentoring project teams and direct reports, ensuring the successful delivery of high value and complex projects. Acting as a thought leader, publishing papers, and presenting at industry and scientific conferences to amplify a distinctive AI vision for our clients. Who we're looking for: You bring demonstrable technical ability, creativity and flexibility from your extensive experience (in academia, industry or both) as thought leader in this space. You'll have prior experience working in or for financial services clients, with standout examples where you've led the delivery of distinctive applications that have driven commercial impact. You bring broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language Models. You have advanced coding skills in Python and proven experience building and maintaining scalable codebases. You enjoy mentoring junior colleagues and have prior direct management experience, inspiring them to continually stretch and grow their technical skill. You are highly proficient in strategic problem solving and communicating solutions to non technical audiences, able to select appropriate solutions and balance innovation with practical implementation. The Interview Process Talent Team Screen (30 minutes) Introduction to Business Unit Director (30 minutes) Take Home Technical Assessment Technical Interview (90 minutes) Commercial & Principles Interview (90 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT As a Senior Data Engineer I, you will be a technical owner, designing and leading the implementation of scalable data architectures for cutting edge AI and agentic systems. You will lead the development of robust data pipelines, manage secure and governed data environments, and mentor junior colleagues while collaborating with clients and cross functional teams. You'll tackle impactful challenges and grow as a leader by architecting innovative AI solutions across diverse industries. In this role, you will own and deliver technical workstreams, designing machine learning, agentic, and autonomous AI systems. You'll lead the integration of machine learning, Generative AI capabilities and agentic frameworks into client solutions, designing MLOps/LLMOps focused architectures for model management, observability, and automated retraining. You will also spearhead the design of complex feature engineering workstreams, ensuring our data assets are not only robust but also optimized for the next generation of AI models. Your work will help solve some of the most complex and high impact challenges facing clients across industries. By partnering with McKinsey's QuantumBlack and Labs teams, you'll lead the creation of innovative enterprise grade machine learning systems that accelerate AI adoption and solve critical business problems at speed and scale. You will be instrumental in shaping how we build and deploy high impact AI systems, enabling clients to achieve meaningful, lasting impact through technical innovation. You'll be based in London as part of our global Data Engineering community. You'll work in cross functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts, leading the data engineering workstream to deliver AI solutions. Collaborating with clients from data owners to C level executives, you'll help design impactful solutions that address complex business challenges and build client capabilities. This role offers a unique opportunity to grow as a technologist and a leader. You'll develop deep expertise at the intersection of technology strategy and business value by addressing diverse architectural challenges. Working with inspiring, multidisciplinary teams, you'll gain a holistic understanding of enterprise AI while collaborating with some of the leading AI and data experts in the industry. YOUR GROWTH Driving lasting impact and building long term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. YOUR QUALIFICATIONS AND SKILLS 5 7+ years of relevant professional experience in a data engineering role, with experience leading technical workstreams, mentoring junior engineers, and driving the adoption of software engineering best practices within a team. Expert level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems. Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.). Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade offs between quality, latency, and cost. Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP). Strong communication skills, both verbal and written, in English and local office language(s). Exceptional time management and ability to own technical workstreams autonomously. Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus. FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

Location: London or Gloucestershire Overview We're looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you'll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You'll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website. Be expected to work primarily on our clients' sites in London or Gloucestershire, please consider your commute when applying. Key day-to-day activities Lead technical scoping and make key architectural decisions to enable delivery of professional-level ML solutions. Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges. Maintain and develop a strong working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Mentor and develop junior Machine Learning Engineers. Provide advice and explain core ML concepts to our customers and partners. Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, embedded with customers or delivery teams. Hold existing Developed Vetting (DV) level clearance, or willing and eligible to obtain and maintain UK security clearance to Developed Vetting (DV) level. Nice to Have Prior experience working with government customers, defence contractors, or in military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience is important, we're keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. What do we offer? We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You'll enjoy a competitive compensation package and great benefits such as: 25 days of annual leave plus Bank Holidays Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution) Private Healthcare (including dental and optical cover) Group Life Cover at x3 your annual salary once you pass your probation period Enhanced Paid Parental and Sickness Leave Workplace Nursery Scheme Pet friendly office Professional and personal development For more information, please visit our website or email Interview Process Initialdiscussion with the People team TestDome coding exercise 1 hour interview with two members of the Science & Engineering Team 1 hour technical interview, including a 10-minute presentation and live coding exercise In person meet the team at our Summertown, Oxford office Company Mind Foundry Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom

JOIN OUR JOURNEY Medialab is the UK's leading independent media agency, and one of the fastest growing in the industry. We're a media agency that's made differently: purpose led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is rewarded and there are no limits to what you can achieve, which our employees agree with, evidenced by being a Campaign 'Best Place to work' for the last 5 years in a row, Campaign's Independent Agency of the Year 2024 and The Sunday Times Best Places to Work 2025. We are IPA Effectiveness accredited, an IPA People-First agency and widely awarded including a double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, Sharps Bedrooms, SunLife, Standard Life, Laithwaites Wine, EMMA Mattresses, Save the Children, Mind, Guide Dogs, Alzheimer's Society, RNLI and Clearscore. OUR VALUES Commit to Doing the Right Thing (Act with integrity and accountability) Help People Flourish (Invest in people) Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITTMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: Time to Unwind - 22 days holiday (+ Christmas holiday closure), birthday & mental health day off, holiday buying scheme, flexi-hours and work abroad scheme. Hybrid Working - Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment. Career Growth - A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support. Health & Wellbeing - Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and unlimited free professional counselling. Supporting Families - Enhanced parental leave, flexible working and life assurance. Giving Back - Paid charity days and sustainability initiatives. Perks & Rewards - Retail discounts, long-service trips and an unforgettable team culture. YOUR NEXT CHALLENGE Are you interested in learning and working in the world of data science with its application into the media advertising landscape? Does the world of innovative digital marketing grab your attention? We are looking for a highly numerate undergraduate student currently studying a relevant degree in mathematics, statistics, economics or data science who would be interested in applying their statistical knowledge and helping some brilliant charities deliver donation growth. As University Placement Data Scientist Student at Medialab, you will join the rapidly developing data team, who are responsible for measurement solutions and modelling expertise. Whilst helping a diverse client-set understand the true value of their media investment. You will also create compelling data stories on how to drive growth, and automate the insights into the planning cycle through their advance and integrated tech stack. We will help you apply your economics and statistical understanding into the media advertising landscape on practical real-world applications to showcase the value they can have in your career. HOW YOU WILL MAKE AN IMPACT Work closely with businesses to identify issues that can be resolved using data solutions effectively for decision making. Statistical methods to solve complex problems and study business performance. Studying market trend data to understand the resulting impact on individual businesses. Support the account management and planning teams across all facets of campaign measurement across media channels. Develop automated data processes using SQL. Ability to organise a variety of large data sets. Undertake regular analysis and reporting for retained clients. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results. Working with the marketing effectiveness team and other senior business stakeholders to develop analytical propositions. Applying and developing your data handling and analytical techniques to client projects including: multi-channel response attribution, retention/churn, customer lifetime value, customer engagement and segmentation. WHAT YOU BRING TO THE TEAM MUST HAVE SKILLS Highly numerate undergraduate studying a relevant degree in mathematics, statistics, economics or data science. Theoretical understanding of statistical techniques such as regression and developing confidence measures. Pre-requisite skills: Strong Excel and MS Office usage. Strong data manipulation skills and a keen eye for detail. Good communication skills. NICE TO HAVE SKILLS Inquisitive analytical mind with a strong desire to find things out. Pragmatic approach to problem solving. Highly organised with strong attention to detail. Confident and assertive in social environments. Be a genuine team player whilst also being able to deliver on a task you are responsible for. Good listener, articulate, persuasive, patient and resourceful. Quick learner, pro-active mind set, resourceful, and able to think for self. Logical thinker, with the entrepreneurial eye to identify opportunities. Experience of coding in Python, R or SQL would be useful but not essential. Applications to close Monday 6th April 2026

Position Overview Proximie's engineering organization is the heartbeat of the company - designing and delivering products that drive measurable clinical and operational impact. Our platform empowers surgical teams around the world to improve patient outcomes, optimise operating room efficiency, and harness data for smarter, more connected surgery. As Proximie continues its global expansion, we are seeking a Senior Data Engineer to join our data engineering team. Our data has become more important than ever. We need to utilise it to make analytical decisions, store it securely, move it between different systems, all the while ensuring that we adhere to healthcare and data protection regulations. As a Senior Data Engineer you'll help shape the future of Proximie's Data & Insights platform, ensuring our systems are robust, secure, and scalable to power analytics, AI, and data products used by hospitals worldwide. Responsibilities Reporting to a Data Engineering Lead based in the UK, the Senior Data Engineer will be responsible for: Design, evolve and future proof scalable data architectures to meet performance, cost, and reliability goals. Build and orchestrate resilient batch and real time data pipelines. Data modelling & cataloguing including: Performance tuning in various technologies (e.g. Spark, Presto, Athena, Postgres) Build automated testing frameworks including implement anomaly detection and validation checks (e.g. with Great Expectations). Monitoring & Incident Response including: Enforce data access controls, encryption at rest/in transit, PII masking/anonymization, and collaborate on HIPAA/GDPR (or equivalent) compliance. Manage and version cloud infrastructure using IaC tooling (e.g. Terraform) Collaborate closely with Data Scientists, Analysts, Product, and Customer Success teams to design reliable, well documented datasets and APIs that enable analytics, insights, and ML capabilities. Drive development of customer facing data products - APIs, timelines, dashboards - and support machine learning data pipelines. Mentor junior engineers, champion best practices, document architectures/runbooks/data dictionaries, and standardise coding conventions and CI/CD. Requirements Bachelor's degree in Computer Science, Mathematics, or related field (or equivalent practical experience). Minimum of 5+ years as a Data Engineer with experience developing and supporting with data lakes, warehouses preferably on AWS. Extensive experience designing, deploying, and maintaining data infrastructure on AWS (or equivalent), including data lakes, warehouses, and real time pipelines. Experience across a variety of AWS products such as S3, Glue, EMR, Lambda, Aurora or equivalents. Professional software development experience with Python and SQL. Able to work as a team to deliver against requirements in a collaborative and agile way. Desirable Requirements Certification from a major cloud provider, ideally AWS Certified Solutions Architect. Data visualisation experience. Experience of testing, CI and monitoring data driven applications. Experience working with third party APIs. Experience with dbt, Snowflake or DataBricks. Experience with orchestration tools e.g., Airflow. Experience with messaging and event processing platforms. Building REST/GraphQL APIs. Benefits You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie's values are Ownership, Deliver Results, Build Trust and Go Beyond. Generous annual leave. Two "well being" days per year plus the day off for your birthday. "Summer Fridays" - early office closing on Fridays during summer months. Annual bonus programme - based on individual contribution. To support your professional growth, all permanent employees will have access to an annual stipend of £1,000 to assist with personal development activities. Flexible working hours - we trust our people to manage their time and to focus on wider results. A flat organisational structure where every opinion matters, ideas are cultivated, and innovation is encouraged. Proximie is a truly global company with teams across the UK, Europe, United States, and the Middle East where you will have opportunities to see the world. Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.