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Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. This role is mostly remote, with occasional trips to the office - in either London, Birmingham, Manchester, Bristol, Reading, Edinburgh or Leeds so you would ideally be based near a local 'clubhouse.' Lead Data Engineer We are seeking a Lead Data Engineer to act as the technical practice lead for the Luna data team. This is an important role responsible for leading a high business priority migration from AND's existing Redshift environment to our new AWS RDS (Postgres) architecture. Beyond technical architecture, you will be a mentor and skills builder for the team. You will guide the technical growth of our Data Analysts, transitioning them from SQL-centric workflows to production-ready Python and DataOps practices, while collaborating closely with stakeholders to translate business needs into scalable technical roadmaps. What you'll bring to the table: Technical Leadership & Architecture: Lead new Data Pipeline Delivery: Implement the new Python-based ETL pipelines for data movement from Luna's microservice DynamoDB tables to RDS transactional DB (Postgres OLTP) and subsequently to the RDS data warehouse (Postgres OLAP). Platform Optimization: Leverage expertise from previous data setups to optimize the new Postgres OLTP for transactional performance and the OLAP environment for analytics effectiveness, with both being conscious of on-going cost management. Standard Setting: Establish and enforce DataOps standards, including version control (Git), automated CI/CD deployment, and schema migration management using tools like Liquibase or Drizzle ORM. Team Enablement & Mentorship: Hands on Coaching: Actively mentor team members, elevating their skills in Python, Git, and engineering workflows through code reviews and workshops. Code Quality: Conduct rigorous code reviews, providing detailed, educational feedback that explains best practices and clearly outlines required changes to elevate team standards. AI Engineering patterns: Support the definition and implementation of AI tooling and practices to augment the Data engineering team. Strategic Agile Delivery: Initiative Planning: Break down larger reporting initiatives into manageable epics and stories within our Agile framework (a mix of Scrum for larger work items, and Kanban for smaller continuous flow items). Stakeholder Management: Network with business domains to capture requirements and provide strategic guidance on the data platform migration plan. Product Partnership: Support the Data Product Owner by providing the technical context necessary to prioritize the team's backlog effectively. Required Experience & Technical Skills: Data Engineering - 7 to 10 years experience building and supporting full stack data pipelines from source to reporting. AWS Mastery - 5+ years deep experience with AWS, ideally administration and optimization of RDS / Aurora (Postgres) and Redshift. Python - 5+ years expert level Python, with specific experience working on ETL pipelines, including libraries like Pandas and orchestration tools like Airflow or Prefect. PostgreSQL - 5+ years expert level SQL and database architecture (partitioning, indexing) for both OLTP and OLAP. DataOps / Tools - 3+ years expertise in Git, with solid understanding of Git branching and workflow, and schema management (e.g., Liquibase, Flyway, or Drizzle). Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. By joining AND, we'll provide: Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people's lives. A "Blended Working" model, meaning you will be able to work in a range of locations from your home, in your clubhouse, on a client, as well as just a change of scenery. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. An annual budget for training and upskilling, including allocated days off so you don't have to study in your own free time. Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Share scheme A £1000 flexifund to use on a personalised list of benefits such as Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan 6% pension PLUS many more For a full list of benefits - Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.

Senior AI Researcher BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations. Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won't just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform. Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models. Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements. External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics." Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments. Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals). Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."

Job Description Job Role: Data Science Associate Manager Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level: Manager - ML8 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Data Science Associate Manager, you will: Shape Customer and Marketing Experiences w/ Generative AI solutions Be at the forefront of the industry - creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always on enterprises. Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients. Support the development of data platforms, data products, and capabilities that empower analytics and AI teams. Assist senior leaders in shaping elements of the strategic direction for practice's data science and data engineering ecosystem. Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks. Collaborate with digital teams, architects, and stakeholders to support & lead the design of enterprise AI and data science solutions. Deliver Real World Business Impact Drive and support real world solutions into production that drive measurable business value for our clients. Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our team with the credibility, expertise, and insight clients depend on. Develop your skills with our world class training programmes. Drive your career progression through our structured career development programs. Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies. Collaborate with Global Brands Work with leading global brands and household names on impactful data science and AI use cases. Support the creation of reusable data science assets, feature stores, model templates, and best practice frameworks. Consult on complex analyses and advanced machine learning methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM based and data science driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification In this role you will: Define and Deliver Customer Centric Data Strategies Translate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model ready datasets. Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives. Contribute to the development and delivery of LLM based and ML based solutions that improve customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Support early stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks. Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders. Deploy and Scale AI Solutions Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes. Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments. Work with engineers to support the deployment of machine learning algorithms that deliver tangible business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment. Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing. Drive the creation of reusable data science assets, frameworks, and best practices. Assist in applying advanced machine learning techniques to solve complex business challenges. Lead Across Industries and Teams Support the delivery of AI driven customer and marketing transformations across industries. Help communicate insights and contribute to strategic discussions with clients and internal teams. Share data science knowledge and collaborating on best practices practice. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in Snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.

A cutting-edge AI startup in London is seeking a Lead Data Engineer to be the first senior data hire. You will architect scalable pipelines and ML infrastructure, driving automation in the property management sector. This role offers strong growth potential, working under experienced leadership and impacting a massive industry with your technical expertise. Ideal candidates will have substantial experience in data engineering, particularly with Python and distributed systems.

The Data & AI Solutions Lead plays a pivotal role in driving adoption and revenue growth for Microsoft Copilot, Microsoft Fabric, and Azure AI & Data solutions. This role is focused on driving new business by partnering with Account Directors and technical teams to identify whitespace opportunities, influence strategic deals, and provide deep product expertise. The specialist will act as a trusted advisor, enabling customers to realize business value through Microsoft's Data & AI portfolio. KEY RESPONSIBILITIES: Act as a subject matter expert and overlay sales lead for Microsoft Copilot, Fabric, and Azure AI & Data solutions Partner with direct sales to co-develop and execute go-to-market strategies within existing accounts Identify and qualify whitespace opportunities and influence pipeline development across multiple territories. Deliver compelling customer presentations, demos, and workshops that articulate business value and technical capabilities. Collaborate with pre-sales engineers and solution architects to shape solution proposals and ensure technical feasibility. Support sales cycles by aligning Microsoft Data & AI solutions to customer needs and strategic initiatives. Maintain deep knowledge of Microsoft's AI and data platform roadmap, competitive landscape, and industry trends. Track and report on overlay sales performance, pipeline influence, and customer engagement metrics. Provide feedback to product and marketing teams to improve messaging, enablement, and solution offerings. INDIVIDUAL RESPONSIBILITIES: Demonstrate strong collaboration and influence skills across sales, marketing, and technical teams. Stay updated on the latest Azure data and AI technologies and best practices. Proactively identify opportunities to enhance skills and knowledge. Proactively share insights, best practices, and success stories across the sales organization Represent the company at industry events, webinars, and customer briefings. WIDER TEAM NETWORK Internal Sales, Pre-sales, Marketing, Vendor Solutions, and Customer Success External Clients, Vendors and Partners QUALIFICATIONS, EXPERIENCE, & SKILLS: Educational Qualifications: None ESSENTIAL OR DESIRABLE Professional Qualifications Microsoft certifications in Azure AI, Data, or Copilot DESIRABLE Years of Experience 5+ years in technology sales, with at least 2 years in an overlay or specialist role ESSENTIAL Other Requirements Proven success in influencing enterprise sales cycles and driving adoption of Microsoft Data & AI solutions ESSENTIAL Strong communication, presentation, and stakeholder management skills. ESSENTIAL Familiarity with Microsoft Copilot, Fabric, Azure Synapse, Azure OpenAI, and related services ESSENTIAL Strategic thinking and ability to align technology to business outcomes Deep understanding of Microsoft's Data & AI ecosystem Ability to influence without authority and drive cross-functional collaboration Strong storytelling and value-based selling capabilities Experience working in matrixed sales environments. MEASURES & GOALS

Location: London, England, United Kingdom Location: London, England, United Kingdom Agency: Kinesso - United Kingdom Ref#: 19977 Type of Contract: Regular About Us KINESSO is the technology-driven performance marketing agency that sits at the very heart of IPG Mediabrands, providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning performance marketing and data and technology. Fuelled by a deep understanding of consumer behaviour, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at ABOUT THE ROLE Your role will be to support the Kinesso Client Services team in the account management of programmatic display, mobile, audio, OOH and video campaigns across Kinesso clients. This role will specifically focus on Mediahub clients across EMEA markets. KEY TASKS AND RESPONSIBILITIES General Responsibilities Operate as key client (internal and external) point of contact for day-to-day client service: client account management, conduit between client and operations & finance, selling of services, tactical campaign design, analysis, reporting and related campaign duties Follow and enforce our internal processes and SLAs, collaborating with Agency planning teams to ensure that processes are followed and client expectations are managed. Combine media market & technical knowledge, data analysis and client feedback to configure, operate and optimize complex campaigns to meet client objectives Operate as an expert in the use and best practices for multiple Demand Side Platforms, offering insights on how to improve campaign effectiveness through deep use of each platforms functionality, although in-console campaign management is not a part of this role. Develop in-depth knowledge of the digital media industry and media market dynamics Develop relationship with campaign engineering team Consult with clients and agency planning teams regarding development and alignment of campaign parameters to sell in and develop Matterkind services Deliver insight into delivery and performance implications of campaign constraints Design media and audience strategies and tactics to maximize economic outcomes within campaign limits Ensure ops team are managing all tactical media plan requirements and are correctly implemented in DSP consoles, running weekly performance and pacing meetings to investigate campaign delivery. Assist in delivery of reports to track, measure, and analyze all campaign activities and drive resolution of delivery and performance issues Liaise with clients and agency teams on campaign performance and reporting ABOUT YOU Experience in digital media account management with blue chip advertising clients with a leading online advertising agency, network, advertising exchange or optimization firm Excellent verbal and written communication skills, ideally comfortable in a consultative, client-facing environment Excellent quantitative and analytical skills with the ability to draw conclusions based on data Fundamental knowledge of ad targeting methodologies Good understanding of ad networks, ad exchanges, DSPs and/or auction marketplaces Experience with statistics and related analysis methodologies Ability to investigate, analyze & solve problems, and clearly communicate results Desire to work in an entrepreneurial atmosphere and be a self-starter Eagerness to get hands-on to figure out how things work Handle multiple projects in a fast-paced environment with the ability to learn and apply new concepts and tools quickly Ability to work collaboratively as part of a cross-functional team Employee Transparency At IPG Mediabrands, we celebrate differences and believe this makes us stronger. IPG Mediabrands is an equal-opportunity employer and is committed to championing an inclusive culture that provides a sense of belonging for all our employees. We do not discriminate against any applicant based on age, disability, race, colour, ethnicity, national origin, gender, sexual orientation, gender identity, religion, belief, marital status or any other characteristic protected by law. Please reach out toNinetteatNinette.DeSous at if you would like to have a confidential conversation regarding any adjustments that would ensure our recruitment process is accessible for you. Please note requesting a reasonable adjustment will not affect your application. THE PERKS We aim to provide all our people with a supportive and fun work environment where you can develop your full potential and benefit from the broad range of opportunities within the agency. When you join us, we want to make sure you feel valued - and that you are rewarded for your fantastic work. So, we also offer a range of benefits: Flexi-leave, with 25 days annual leave to be taken as the minimum. In addition to your holiday entitlement, the office usually closes between Christmas & New Year Free breakfast and free lunch Early finish Fridays Core Hours (Mon-Thurs, flexible start/finish times) Electric vehicle salary sacrifice car scheme Interest-free season ticket loan Paid time off for Volunteering Group Income Protection Life Assurance Private Medical Insurance or Health Cash Plan (dependent on level) Group Personal Pension Plan with matched contributions from 3-6% Generous Parental Leave & Pay Employee Assistance Programme Free eye tests Flexible benefits including Dental, Travel insurance, Cycle to Work, Gym Discounts and many more!

Ready to race ahead in your career? Plug into our team as an Data & AI Engineer and power up our mission! About Formula E: Formula E, the world's fastest-growing sport, is redefining motorsport with a bold focus on innovation and sustainability. Hosting over 100 races in iconic cities globally and backed by top manufacturers like Porsche, and Jaguar, we feature elite drivers and cutting-edge EV technology. As the world's first sport certified Net Zero Carbon from inception, Formula E combines thrilling entertainment with a mission to advance sustainable progress, inspiring a global fanbase with our high-performance brand new GEN3 EVO race car capable of 0 60mph in 1.82 seconds (0 100kph in 1.86s). Using the spectacle of sport, we are sending a powerful and meaningful message to help alter perceptions and speed up the switch to electric mobility. Welcome to the home of Global Electric Street Racing. The Role: Sitting at the heart of our exciting Google Cloud partnership, you will bridge the gap between robust data architecture and cutting edge intelligence. As a Data & AI Engineer, you will own the end to end lifecycle of data driven AI applications. This role is about more than just prompts; it's about building the high performance GCP data foundations that power autonomous orchestration frameworks. Integrated Data & AI Pipelines: Design, build, and maintain scalable data pipelines within Google Cloud Platform (GCP) that serve as the backbone for real time AI context and RAG systems. Agentic Framework Development: Design and deploy autonomous AI agents and orchestration frameworks to automate complex workflows and revolutionise fan engagement. GCP Ecosystem Mastery: Leverage the full Google suite-including Vertex AI, Agent Builder, and BigQuery-to create production ready RAG (Retrieval Augmented Generation) systems. Vector & Relational Modelling: Develop and optimise vector databases and traditional data models (SQL/NoSQL) tailored for high efficiency AI retrieval and LLM performance. Strategic Architecture: Partner with technical and non technical teams to identify where data rich automation can drive high impact, translating racing and business needs into robust engineering solutions. Hybrid Deployment & Governance: Take accountability for the performance, data integrity, and safety of AI deployments, ensuring low latency access and rigorous documentation. What we're looking for in you: GCP Data Engineering Foundations: Proven experience building production grade data solutions on GCP, with deep knowledge of BigQuery, Cloud Run, and Cloud Functions. AI Implementation: Hands on experience building AI applications using Vertex AI (Model Garden, Studio) and implementing Gemini or other LLM architectures. Orchestration Mastery: Proficiency in developing AI agents using Vertex AI Agent Builder, LangChain, or similar frameworks to manage complex logic flows. Advanced Programming: Expert level Python skills, specifically for data engineering, API development, and LLM integration. Modern Data Stack: Experience with RAG architectures, managing Vector Databases (e.g., Vertex AI Search, Pinecone, or pgvector), and handling structured vs. unstructured data flows. Engineering Excellence: A "DataOps" mindset-strong experience with Git, CI/CD, and version control for both code and data/model lineage. A relevant Google Cloud certification (Professional Data Engineer or Professional Machine Learning Engineer) would be highly beneficial. What's in it for you? 25 days' annual leave, Birthday day off and Wellbeing leave Opportunity to extend your stay if travelling for a race event Health Cash Plan and access to the Aviva Digital Workplace app Enhanced Parental Leave Flexible Bank Holidays Paid volunteer and carer's leave Cycle to Work and Electric Car Scheme Formula E store discount Regular social events and employee working groups This is a hybrid role and you'll be required to do 3 days a week in our Hammersmith London office Application Process Think you've got what it takes to join our race to the future? The closing date for this role is 10th April, however if we receive a high volume of applications we may close it early. At Formula E, we are building a culture where every voice matters, every perspective accelerates progress, and every individual is empowered to rise, contribute boldly, and shape a better world - together. We will provide equal opportunities regardless of an individuals' protected characteristics. We believe in attracting and retaining diverse talent to strengthen our global vision with a variety of experiences, backgrounds and perspectives. Our mission is clear. The message is simple. Whoever you are. However you live. Whatever you believe. Formula E. For the Future. For Everyone. We'll see you at the starting line! VAMOS! If you require further assistance in accessing the application or require a different format of the application, please contact If this role isn't quite for you but you want to join Formula E, why not 'Connect' with us to be the first to know of new opportunities!

A leading pharmacy software developer in the UK seeks a DevOps Engineer to design and maintain reliable cloud-based infrastructure. You will work to automate build processes and enhance system reliability, collaborating closely with development and operations teams. Ideal candidates will have a strong background in Linux, Kubernetes, and CI/CD practices. The role emphasizes operational ownership and provides opportunities for continuous improvement in a dynamic environment.

About Us Our mission is simple: we want to set people free to do meaningful work. People love our software and it turns out that people love working here too. We've been recognized as a "Best Company to Work For", and we're proud of our team for receiving awards for workplace effectiveness and flexibility. What You'll Do As our Security Engineer, you'll be responsible for managing our security posture as well as keeping our application safe from external threats. Our ideal Security Engineer will be able to manage IT-related security issues, such as firewall management, HIDS/HIPS configuration, log monitoring, and audit compliance (SOC II). You will ensure that our software application is both manually and automatically pentested for security vulnerabilities (both Red Team and Blue Team exercises), and be a decision maker in all things security management - able to "pull the plug" on a feature, application, or other business function if it represents a significant risk to the company. You will: Conduct penetration tests against web applications infrastructure Validate security on new hardware and software infrastructure Assist front-line company representatives with security questions Manage firewall rules and internal pentesting Manage SOC II controls and external pentesting Manage priorities through backlog management system (Jira) Come to work, do great things, then go home! What You Need to Get the Job Done 3+ years experience performing penetration testing (against web applications) Experience securing cloud-based infrastructures and solutions Previous experience working on an information security team Advanced knowledge of common security vulnerabilities (OWASP) and best practices Familiarity with SOC II controls and how to review them Experience in other technical roles (SysAdmin, Helpdesk, etc.) Strong understanding of Linux server environments Experience with Kanban and Agile DevOps workflows A good attitude and willingness to learn - you'll be with great people. You're welcome. What Will Make Us REALLY Love You You have a degree in CS, IT, or similar field CISSP, Security+, or other security related or linux or cloud related certifications Previous scripting experience (Python, Perl, Ruby, or PHP) You possess strong time prioritization skills You are proactive and look for ways to continuously increase efficiency We can see that you have a measured demeanor that assumes the best of people and respects co-workers. Real world examples of demonstrated technical leadership What You'll Love About Us Great Company Culture. Utah Business Best Companies to Work For (2020 & 2021) and the Sloan Award for Business Excellence in Workplace Effectiveness and Flexibility (2020 & 2021) Work that Stays at Work. Genuine work/life balance served here! Rest and Relaxation. 3 weeks paid time off, 11 paid holidays, and we pay you to go on vacation (ask us about this!) Health Benefits. Medical with HSA and FSA options, dental, and vision Prepare for the Future. 401(k) with company match Financial Peace University. Take the class, get reimbursed, get a bonus An Equal Opportunity Employer M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future prove its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role Support Engineer - End User Computing. The End User Computing team look after all the technology used directly by humans in our organisation, such as the Windows and Linux desktops and Windows server infrastructure (including active directory, application deployment, clustered enterprise database systems, monitoring and automated build systems), audio visual deployments, LAN, internet, and WiFi network environments and a wide range of enterprise applications (including e mail, third party productivity tools, and finance specific applications). We exhibit special expertise in automation (predominantly in PowerShell, but also in python and other languages). We currently operate 4 days a week in office, 1 from home. Responsibilities You will support our employees in their day to day use of the computer systems in our Bristol Office and offer remote support to other European offices as required. Perform day to day operations, support, and maintenance of our IT platform and cloud applications, including (but not limited to): Microsoft 365, Slack, Active Directory, Jira, VC Estate and other IT related systems. Co own and continuously improve the onboarding processes for both users and hardware in the Bristol office. Co Manage IT asset tracking and lifecycle processes (procurement, deployment, refresh, and disposal). Contribute to the global Windows platform, supporting standardisation, optimisation, and continuous improvement. Diagnose and resolve issues across: Windows desktops and servers. Active Directory and Entra ID. Hardware and peripherals. Develop and maintain automation solutions to improve efficiency and scalability, including: Automated builds and provisioning. Configuration management. Patch management and application deployment. Monitoring, observability, and performance tooling. Once fully integrated into the business, there is an on call rota to provide IT coverage. This includes occasional weekend support/maintenance tasks, approximately once every 6 weeks with time off in lieu the following week. Qualifications We estimate that you will have at least 5 years' experience in a relevant technical role and you will have many of the following technical skills: Active Directory. Windows 11, Windows Server (2019 / 2022 / 2025). Solid PowerShell scripting skills for automation. Experience with endpoint management tools: SCCM. Microsoft Intune (OS and application deployment/management). Familiarity with Linux command line environments. Working knowledge of version control systems (e.g., Git). Basic understanding of networking concepts and Cisco CLI commands. High proficiency with Microsoft Office applications. Due to the nature of the role, you will be occasionally required to move, lift, rack and install equipment (pc's, switches, servers). Personality and Soft Skills As this role involves regular interaction with, and providing support to our employees, we are seeking an individual that is: Personable and enthusiastic with a genuine desire to enable staff to take full advantage of their IT systems. Able to explain technical concepts and events to non technical staff members. Articulate, numerate and capable of negotiating high value technology equipment and services. Able to reason logically and consistently deliver under pressure. Able to spot new opportunities and follow through with them. Onboarding Note To set our new hire up for success, we envisage that you would need to spend significant chunks of time at our London HQ to onboard with our existing team and learn how we approach end user computing. This could be a few months at the beginning, reducing thereafter to less regular trips. Alternatively, this could be a few weeks at the start and regular periods (2 weeks in every 4) thereafter. XTX would cover all associated costs.