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Role Title: Senior Security AI Solution Architect / Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/ Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose / summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/ requirements • Assess “as-is” and “to-be” security architectures for AI Platforms, AI & GENAI Delivery Roadmaps., • Share Security AI & GENAI Security Learnings & Subject Matter Expertise., • Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities., • Develop architectural documentation for AI security initiatives., • Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security., • Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries, • Provide hands-on delivery support where required. General “architect” responsibilities that they would also contribute to: • Ensure there is a current Security Architecture defined and maintained for key domains (e.g., Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated, • Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team), • Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations, • Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries, • Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features – what is actually in use and operationalised), • Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy, • Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams., • Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations, • Produce patterns which outline solutions for commonly occurring business security needs and security service consumption, • Validate patterns are adopted by control domain solutions, • Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience • Proven experience as a Security Solution Architect, • Deep understanding of AI and Generative AI technologies., • Deep understanding of AI and Generative AI Security Capabilities., • Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge / Skillset: • Emergent Technology Governance, • Artificial Intelligence, • Data Security within AI Systems, • Machine Learning, • AI Operation, • Cyber recovery, • IT Infrastructure, Cloud, • Risk and Regulation, • Experience in financial services environments., • Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels., • Personable and collaborative approach, with the ability to engage stakeholders and “roll up sleeves” when needed. Desirable Skills: • Experience with regulatory compliance in AI and security, especially EU AI Act., • Previous work on securing AI models and platforms (model trust, data security, usage monitoring)., • AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments., • GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design., • AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions., • Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies., • Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture., • AI Enablement & Delivery: End-to-end AI lifecycle orchestration including readiness assessments, regulatory reviews, and business adoption., • Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks., • Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Yaspa is an award-winning fintech that connects identity and money to simplify and accelerate the way we pay. Founded in 2017 by a former Worldpay CTO, Yaspa uses open banking to provide instant bank payments that are faster, more secure and more cost-effective than cards, and to help regulated businesses seamlessly verify customers and their payments. Yaspa operates across the UK and Europe, is regulated by the UK’s Financial Conduct Authority, and is backed by leading investors including Fin Capital, SGH Capital & Metavallon VC. \n This milestone funding will accelerate our expansion into the US market as we continue to transform payments and identity services for regulated businesses. \n\n We are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like loans for risk management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. \n\n We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a fast-paced, agile environment and can help expand Yaspa's AI capabilities. You’ll join a close-knit, multidisciplinary team that includes frontend, backend, and full-stack developers, release engineers, and testers, with direct reporting to the CTO. Experience in the following areas is a plus: finance, open banking, iGaming, startups, or enterprise companies dealing with real-time processing. \n\n You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings \n Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency \n Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models \n Lead model deployment with an eye for performance, scalability, and real time low-latency inference \n\n Bring experience or gain knowledge to act as a subject matter expert in open banking, payment networks (ACH, RTP), and real-time risk infrastructure is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in designing and deploying real-time risk models, ideally in the context of A2A payments or other financial transaction systems is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. \n\n Hands-on experience building and deploying ML models in Python \n SQL skills and familiarity with AWS for deployment and data workflows. \n Experience working with large-scale data \n Proven success collaborating with product and engineering teams to ship ML-based features and tools \n Proficiency with data visualisation tools such as Tableau, PowerBI \n Demonstrated ability to design and validate features using transactional and behavioral data from financial services \n Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred \n Experience with model governance and monitoring in regulated environments \n Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Lead Data Scientist \n Full time \n London - Hybrid WFH model, x2 days a week onsite (Wed/Thurs)\n\n We are a fun, collaborative team based in London (though many of us work remotely for part of the week). if you’re excited by personal and professional growth, and being able to really make your mark, then this is the place for you!\n Flexible hours and hybrid working - We are in the office 2 days a week (typically Wednesdays and Thursdays), where we collaborate and learn from each other. This is matched by the balance of WFH to allow you to manage your days autonomously. \n The best tech - You will get a Macbook on your first day \n WFH set-up allowance - Along with your new laptop, we will also provide you an allowance so you can get your perfect set up sorted. \n Quarterly socials - The Yaspa team is fun and curious, so we make sure we get together to go-kart, throw darts, play board games and generally enjoy ourselves!\n Mental and physical health support - We provide you with an app that’s specially tailored to support your health, as well as access to 24-hour advice and free GP appointments. You can also access counselling and use the app for all parts of your life. \n Generous holiday allowance - As well as all the UK public bank holidays, you get 28 days of holiday to enjoy and take as you’d like. Pension (up to 3% matched contributions) - For planning ahead!\n\n Please note that as an equal opportunities employer, Yaspa is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

Yaspa is an award-winning fintech that connects identity and money to simplify and accelerate the way we pay. Founded in 2017 by a former Worldpay CTO, Yaspa uses open banking to provide instant bank payments that are faster, more secure and more cost-effective than cards, and to help regulated businesses seamlessly verify customers and their payments. Yaspa operates across the UK and Europe, is regulated by the UK’s Financial Conduct Authority, and is backed by leading investors including Fin Capital, SGH Capital & Metavallon VC. \n This milestone funding will accelerate our expansion into the US market as we continue to transform payments and identity services for regulated businesses. \n\n We are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like loans for risk management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. \n\n We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a fast-paced, agile environment and can help expand Yaspa's AI capabilities. You’ll join a close-knit, multidisciplinary team that includes frontend, backend, and full-stack developers, release engineers, and testers, with direct reporting to the CTO. Experience in the following areas is a plus: finance, open banking, iGaming, startups, or enterprise companies dealing with real-time processing. \n\n You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings \n Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency \n Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models \n Lead model deployment with an eye for performance, scalability, and real time low-latency inference \n\n Bring experience or gain knowledge to act as a subject matter expert in open banking, payment networks (ACH, RTP), and real-time risk infrastructure is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in designing and deploying real-time risk models, ideally in the context of A2A payments or other financial transaction systems is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. \n\n Hands-on experience building and deploying ML models in Python \n SQL skills and familiarity with AWS for deployment and data workflows. \n Experience working with large-scale data \n Proven success collaborating with product and engineering teams to ship ML-based features and tools \n Proficiency with data visualisation tools such as Tableau, PowerBI \n Demonstrated ability to design and validate features using transactional and behavioral data from financial services \n Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred \n Experience with model governance and monitoring in regulated environments \n Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Lead Data Scientist \n Full time \n London - Hybrid WFH model, x2 days a week onsite (Wed/Thurs)\n\n We are a fun, collaborative team based in London (though many of us work remotely for part of the week). if you’re excited by personal and professional growth, and being able to really make your mark, then this is the place for you!\n Flexible hours and hybrid working - We are in the office 2 days a week (typically Wednesdays and Thursdays), where we collaborate and learn from each other. This is matched by the balance of WFH to allow you to manage your days autonomously. \n The best tech - You will get a Macbook on your first day \n WFH set-up allowance - Along with your new laptop, we will also provide you an allowance so you can get your perfect set up sorted. \n Quarterly socials - The Yaspa team is fun and curious, so we make sure we get together to go-kart, throw darts, play board games and generally enjoy ourselves!\n Mental and physical health support - We provide you with an app that’s specially tailored to support your health, as well as access to 24-hour advice and free GP appointments. You can also access counselling and use the app for all parts of your life. \n Generous holiday allowance - As well as all the UK public bank holidays, you get 28 days of holiday to enjoy and take as you’d like. Pension (up to 3% matched contributions) - For planning ahead!\n\n Please note that as an equal opportunities employer, Yaspa is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes)\n\n Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI. \n\n With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. \n\n As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. \n\n Build, deploy and maintain machine learning models as APIs, streams, and batch services \n Partner with Data Scientists to industrialise prototypes into production-ready applications \n Lead on observability, CI/CD automation, and monitoring for ML workflows \n Contribute to shared ML tooling and experimentation platforms \n Ensure best practices in model testing, rollback, and deployment hygiene \n Work across technical and compliance teams to ensure governance and risk controls \n\n 3–5 years’ experience in machine learning engineering and/or applied data science \n~ Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.)\n~ Strong Python coding skills for production systems \n~ Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes)\n~ Experience working in cloud environments (AWS preferred; Terraform a bonus)\n~ Strong communication skills and interest in the latest ML/AI developments \n~

Software Engineer – Next-Generation Derivatives Risk Platform #128205; Location: London (Hybrid – 1 day/week in office, flexibility for the right candidate)\n#Day Rate: £850 per day \n#Start Date: 5th January 2026\n\n We’re partnering with a global investment bank to hire an exceptional Software Engineer to join a flagship team delivering a next-generation, high-performance derivatives risk platform . \n This is a mission-critical front-office role working on real-time distributed systems with exceptional technical standards. You’ll be part of a high-calibre team solving complex engineering challenges and shaping the future of risk technology across capital markets. \n\n#Core languages: C#, Python, Rust \n Front end: JavaScript / TypeScript/ Angular/ RX JS \n Infrastructure: Kubernetes, containers, DevOps, CI/CD \n WebAssembly, AI integration, and AI frameworks \n This is a genuine technologist’s role — building critical software that combines engineering precision, scalability, and innovation. \n\n Very strong expertise in one of C#, Python or Java , ideally with working knowledge of another. Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . \n Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React \n Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . \n Experience in front-office risk, trading, or analytics systems within financial markets. \n Exposure to AI and machine learning frameworks (e.g. Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . \n Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc.). \n\n This is a flagship product being rolled out across the bank’s global capital markets division — you’ll have visibility, autonomy, and the chance to shape a platform used by thousands of front-office users. \n\n If you’re a genuine technologist who thrives on solving complex problems, exploring modern architectures, and building next-generation systems that blend AI innovation with real-time financial engineering , this is the opportunity you’ve been waiting for.

NEW CONTRACT AI ENGINEER (UK-BASED CANDIDATES)\n6 Month Initial Contract | Start ASAP | Outside IR35\n A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. Youll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. \n\n Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. \n Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. \n Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. \n Research and prototype cutting-edge AI techniques (e.g., Support continuous model improvement and scalable MLOps deployment pipelines. \n\n Core Skills: Python, TensorFlow / PyTorch, scikit-learn, OpenCV, NumPy, Pandas \n Experience With: Model training, tuning, and deployment in production environments \n Sports data analytics, time-series forecasting, or computer vision experience \n Infrastructure: AWS / GCP / Azure, Docker, Kubernetes, MLflow, CI/CD pipelines \n Bonus: Experience with wearable / sensor data, player tracking, or sports video analytics \n\n AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports

Data Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits \n Data Analyst needed for a leading global commodities trading house, with a diverse portfolio across energy, gas, power, LNG, and related markets, is expanding its Data Analyst team with the addition of a Data Analyst. This is an exciting opportunity for a data-driven professional from a trading or financial services background, ideally with strong exposure to derivatives from a middle office perspective, if you come from commodities such as oil, gas, power and LNG is also a plus. \n\n The Data Analyst will become an integral part of the front office, working directly alongside derivatives traders and commercial teams. Youll join a high-performing Data Centre of Excellence a multidisciplinary team of experts in Data Analysis, Data Intelligence, and Machine Learning dedicated to transforming complex market and operational data into actionable insights that drive trading performance and strategic decisions. \n\n In this role as a data analyst, youll play a hands-on part in the data acquisition and trading lifecycle. Operating at the intersection of trading, risk, and technology, youll work closely with traders and quantitative teams to deliver real-time data solutions that support pricing, hedging, and risk management strategies. \n\n The salary on offer for this Data Analyst Role , is up to 90,000 + Bonus and Benefits package. \n\n The company works a hybrid model, with 3 days per week in the office, located in St Pauls \n\n As a Data Analyst you will: \n Analysing data sourcing, how it flows and is housed in the organisation. You will map how to acquire data from primary and secondary sources and maintain data systems. \n The migration of legacy data warehouse to strategic data platform. \n Identifying, collecting and migrating data to and from a range of systems into the central Data Platform, working closely with the Data Management Team. \n Analysis of normalised transactional data and analytic data sources. \n Analysis of semi structured and file-based data extracts. \n\n Essential Skills for the Data Analyst: \n\n Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. \n Familiarity with Data warehousing and analytical data structures. \n Data quality assurance, validation and linkage. \n Experience creating BI models and dashboards, ideally in Power BI . \n Software development methodologies (Sprints/Agile) and project management software (Jira Software). \n SQL Server Database \n Databricks (or Alternative Modern Data Platform such as Snowflake)\n g SSIS , ODI, Informatica, Data Factory)\n\n\n If you are interested in this Data Analyst role, please reply with your latest CV or send it to Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes)\n\n Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI. \n\n With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. \n\n As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. \n\n Build, deploy and maintain machine learning models as APIs, streams, and batch services \n Partner with Data Scientists to industrialise prototypes into production-ready applications \n Lead on observability, CI/CD automation, and monitoring for ML workflows \n Contribute to shared ML tooling and experimentation platforms \n Ensure best practices in model testing, rollback, and deployment hygiene \n Work across technical and compliance teams to ensure governance and risk controls \n\n 3–5 years’ experience in machine learning engineering and/or applied data science \n~ Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.)\n~ Strong Python coding skills for production systems \n~ Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes)\n~ Experience working in cloud environments (AWS preferred; Terraform a bonus)\n~ Strong communication skills and interest in the latest ML/AI developments \n~

Data Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits \n Data Analyst needed for a leading global commodities trading house, with a diverse portfolio across energy, gas, power, LNG, and related markets, is expanding its Data Analyst team with the addition of a Data Analyst. This is an exciting opportunity for a data-driven professional from a trading or financial services background, ideally with strong exposure to derivatives from a middle office perspective, if you come from commodities such as oil, gas, power and LNG is also a plus. \n\n The Data Analyst will become an integral part of the front office, working directly alongside derivatives traders and commercial teams. Youll join a high-performing Data Centre of Excellence a multidisciplinary team of experts in Data Analysis, Data Intelligence, and Machine Learning dedicated to transforming complex market and operational data into actionable insights that drive trading performance and strategic decisions. \n\n In this role as a data analyst, youll play a hands-on part in the data acquisition and trading lifecycle. Operating at the intersection of trading, risk, and technology, youll work closely with traders and quantitative teams to deliver real-time data solutions that support pricing, hedging, and risk management strategies. \n\n The salary on offer for this Data Analyst Role , is up to 90,000 + Bonus and Benefits package. \n\n The company works a hybrid model, with 3 days per week in the office, located in St Pauls \n\n As a Data Analyst you will: \n Analysing data sourcing, how it flows and is housed in the organisation. You will map how to acquire data from primary and secondary sources and maintain data systems. \n The migration of legacy data warehouse to strategic data platform. \n Identifying, collecting and migrating data to and from a range of systems into the central Data Platform, working closely with the Data Management Team. \n Analysis of normalised transactional data and analytic data sources. \n Analysis of semi structured and file-based data extracts. \n\n Essential Skills for the Data Analyst: \n\n Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. \n Familiarity with Data warehousing and analytical data structures. \n Data quality assurance, validation and linkage. \n Experience creating BI models and dashboards, ideally in Power BI . \n Software development methodologies (Sprints/Agile) and project management software (Jira Software). \n SQL Server Database \n Databricks (or Alternative Modern Data Platform such as Snowflake)\n g SSIS , ODI, Informatica, Data Factory)\n\n\n If you are interested in this Data Analyst role, please reply with your latest CV or send it to Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits

Data Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits \n Data Analyst needed for a leading global commodities trading house, with a diverse portfolio across energy, gas, power, LNG, and related markets, is expanding its Data Analyst team with the addition of a Data Analyst. This is an exciting opportunity for a data-driven professional from a trading or financial services background, ideally with strong exposure to derivatives from a middle office perspective, if you come from commodities such as oil, gas, power and LNG is also a plus. \n\n The Data Analyst will become an integral part of the front office, working directly alongside derivatives traders and commercial teams. Youll join a high-performing Data Centre of Excellence a multidisciplinary team of experts in Data Analysis, Data Intelligence, and Machine Learning dedicated to transforming complex market and operational data into actionable insights that drive trading performance and strategic decisions. \n\n In this role as a data analyst, youll play a hands-on part in the data acquisition and trading lifecycle. Operating at the intersection of trading, risk, and technology, youll work closely with traders and quantitative teams to deliver real-time data solutions that support pricing, hedging, and risk management strategies. \n\n The salary on offer for this Data Analyst Role , is up to 90,000 + Bonus and Benefits package. \n\n The company works a hybrid model, with 3 days per week in the office, located in St Pauls \n\n As a Data Analyst you will: \n Analysing data sourcing, how it flows and is housed in the organisation. You will map how to acquire data from primary and secondary sources and maintain data systems. \n The migration of legacy data warehouse to strategic data platform. \n Identifying, collecting and migrating data to and from a range of systems into the central Data Platform, working closely with the Data Management Team. \n Analysis of normalised transactional data and analytic data sources. \n Analysis of semi structured and file-based data extracts. \n\n Essential Skills for the Data Analyst: \n\n Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. \n Familiarity with Data warehousing and analytical data structures. \n Data quality assurance, validation and linkage. \n Experience creating BI models and dashboards, ideally in Power BI . \n Software development methodologies (Sprints/Agile) and project management software (Jira Software). \n SQL Server Database \n Databricks (or Alternative Modern Data Platform such as Snowflake)\n g SSIS , ODI, Informatica, Data Factory)\n\n\n If you are interested in this Data Analyst role, please reply with your latest CV or send it to Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits

Software Engineer – Next-Generation Derivatives Risk Platform #128205; Location: London (Hybrid – 1 day/week in office, flexibility for the right candidate)\n#Day Rate: £850 per day \n#Start Date: 5th January 2026\n\n We’re partnering with a global investment bank to hire an exceptional Software Engineer to join a flagship team delivering a next-generation, high-performance derivatives risk platform . \n This is a mission-critical front-office role working on real-time distributed systems with exceptional technical standards. You’ll be part of a high-calibre team solving complex engineering challenges and shaping the future of risk technology across capital markets. \n\n#Core languages: C#, Python, Rust \n Front end: JavaScript / TypeScript/ Angular/ RX JS \n Infrastructure: Kubernetes, containers, DevOps, CI/CD \n WebAssembly, AI integration, and AI frameworks \n This is a genuine technologist’s role — building critical software that combines engineering precision, scalability, and innovation. \n\n Very strong expertise in one of C#, Python or Java , ideally with working knowledge of another. Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . \n Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React \n Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . \n Experience in front-office risk, trading, or analytics systems within financial markets. \n Exposure to AI and machine learning frameworks (e.g. Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . \n Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc.). \n\n This is a flagship product being rolled out across the bank’s global capital markets division — you’ll have visibility, autonomy, and the chance to shape a platform used by thousands of front-office users. \n\n If you’re a genuine technologist who thrives on solving complex problems, exploring modern architectures, and building next-generation systems that blend AI innovation with real-time financial engineering , this is the opportunity you’ve been waiting for.

About the Role As a Data Engineer at Futuria, youll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. Youll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance and insight across the platform. Key Responsibilities • Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows, • Develop and manage robust data ingestion processes (batch and streaming) from diverse sources, • Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications., • Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems., • Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments., • Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures., • Contribute to text retrieval pipelines involving vector embeddings and knowledge graphs, for RAG., • Deploy and maintain vector databases (e.g. Chroma DB, Milvus) and prompt caching systems (e.g. via Redis), • Monitor, test, and troubleshoot data flows to maintain real-time access to critical information and ensure system reliability. About You We are looking for a self-starting Data Engineer who thrives in a fast-moving startup environment, is comfortable experimenting and iterating quickly, and is excited to work at the frontier of AI-driven products and agentic systems. Essential: • Strong proficiency in Python and SQL for data engineering tasks, • NoSQL experience (e.g. MongoDB, Cassandra), • Experience with message queues and publish-subscribe (e.g. NATS, RabbitMQ etc.), • Proven experience designing, building, and maintaining data pipelines., • Containerization experience (e.g. Docker), • Hands-on experience with vector databases., • Experience integrating language models (LMs) into data workflows., • Proficiency with cloud platforms such as Azure, AWS, or GCP and their managed data services. Desirable: • Experience with asynchronous python programming, • Experience with graph technologies (e.g., Kuzu, Neo4j, Apache AGE)., • Familiarity with embedding models (hosted or local): OpenAI, Cohere etc or HuggingFace models / sentence-transformers., • Solid understanding of data modeling, warehousing, and performance optimization., • Experience with messaging middleware + streaming (e.g. NATS Jetstream, Redis Streams, Apache Kafka or Pulsar etc.), • Hands-on experience with data lakes, lakehouses, or components of the modern data stack., • Exposure to MLOps tools and best practices., • Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster), • Exposure to Kubernetes, • Experience working with unstructured data (e.g., logs, documents, images)., • Awareness of data governance, privacy standards, and high-security environments., • Familiarity with containerization tools like Docker and/or Kubernetes. Success Metrics • Deliver reliable and scalable data pipelines that support production-level machine learning systems., • Maintain high standards for data quality, uptime, and infrastructure performance across all platforms., • Accelerate AI and product team velocity by ensuring fast, dependable access to clean, well-structured, and query-efficient data. Why Join Us? • Contribute to cutting-edge AI products with meaningful real-world impact., • Be part of a collaborative, innovative team with opportunities to learn and grow., • Enjoy flexible work arrangements, including remote/hybrid options and regular team meetups in London., • Receive a competitive salary and benefits.

Yaspa is an award-winning fintech that connects identity and money to simplify and accelerate the way we pay. Founded in 2017 by a former Worldpay CTO, Yaspa uses open banking to provide instant bank payments that are faster, more secure and more cost-effective than cards, and to help regulated businesses seamlessly verify customers and their payments. Yaspa operates across the UK and Europe, is regulated by the UK’s Financial Conduct Authority, and is backed by leading investors including Fin Capital, SGH Capital & Metavallon VC. \n This milestone funding will accelerate our expansion into the US market as we continue to transform payments and identity services for regulated businesses. \n\n We are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like loans for risk management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. \n\n We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a fast-paced, agile environment and can help expand Yaspa's AI capabilities. You’ll join a close-knit, multidisciplinary team that includes frontend, backend, and full-stack developers, release engineers, and testers, with direct reporting to the CTO. Experience in the following areas is a plus: finance, open banking, iGaming, startups, or enterprise companies dealing with real-time processing. \n\n You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings \n Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency \n Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models \n Lead model deployment with an eye for performance, scalability, and real time low-latency inference \n\n Bring experience or gain knowledge to act as a subject matter expert in open banking, payment networks (ACH, RTP), and real-time risk infrastructure is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in designing and deploying real-time risk models, ideally in the context of A2A payments or other financial transaction systems is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. \n\n Hands-on experience building and deploying ML models in Python \n SQL skills and familiarity with AWS for deployment and data workflows. \n Experience working with large-scale data \n Proven success collaborating with product and engineering teams to ship ML-based features and tools \n Proficiency with data visualisation tools such as Tableau, PowerBI \n Demonstrated ability to design and validate features using transactional and behavioral data from financial services \n Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred \n Experience with model governance and monitoring in regulated environments \n Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Lead Data Scientist \n Full time \n London - Hybrid WFH model, x2 days a week onsite (Wed/Thurs)\n\n We are a fun, collaborative team based in London (though many of us work remotely for part of the week). if you’re excited by personal and professional growth, and being able to really make your mark, then this is the place for you!\n Flexible hours and hybrid working - We are in the office 2 days a week (typically Wednesdays and Thursdays), where we collaborate and learn from each other. This is matched by the balance of WFH to allow you to manage your days autonomously. \n The best tech - You will get a Macbook on your first day \n WFH set-up allowance - Along with your new laptop, we will also provide you an allowance so you can get your perfect set up sorted. \n Quarterly socials - The Yaspa team is fun and curious, so we make sure we get together to go-kart, throw darts, play board games and generally enjoy ourselves!\n Mental and physical health support - We provide you with an app that’s specially tailored to support your health, as well as access to 24-hour advice and free GP appointments. You can also access counselling and use the app for all parts of your life. \n Generous holiday allowance - As well as all the UK public bank holidays, you get 28 days of holiday to enjoy and take as you’d like. Pension (up to 3% matched contributions) - For planning ahead!\n\n Please note that as an equal opportunities employer, Yaspa is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

Yaspa is an award-winning fintech that connects identity and money to simplify and accelerate the way we pay. Founded in 2017 by a former Worldpay CTO, Yaspa uses open banking to provide instant bank payments that are faster, more secure and more cost-effective than cards, and to help regulated businesses seamlessly verify customers and their payments. Yaspa operates across the UK and Europe, is regulated by the UK’s Financial Conduct Authority, and is backed by leading investors including Fin Capital, SGH Capital & Metavallon VC. \n This milestone funding will accelerate our expansion into the US market as we continue to transform payments and identity services for regulated businesses. \n\n We are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like loans for risk management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. \n\n We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a fast-paced, agile environment and can help expand Yaspa's AI capabilities. You’ll join a close-knit, multidisciplinary team that includes frontend, backend, and full-stack developers, release engineers, and testers, with direct reporting to the CTO. Experience in the following areas is a plus: finance, open banking, iGaming, startups, or enterprise companies dealing with real-time processing. \n\n You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings \n Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency \n Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models \n Lead model deployment with an eye for performance, scalability, and real time low-latency inference \n\n Bring experience or gain knowledge to act as a subject matter expert in open banking, payment networks (ACH, RTP), and real-time risk infrastructure is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in designing and deploying real-time risk models, ideally in the context of A2A payments or other financial transaction systems is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. \n\n Hands-on experience building and deploying ML models in Python \n SQL skills and familiarity with AWS for deployment and data workflows. \n Experience working with large-scale data \n Proven success collaborating with product and engineering teams to ship ML-based features and tools \n Proficiency with data visualisation tools such as Tableau, PowerBI \n Demonstrated ability to design and validate features using transactional and behavioral data from financial services \n Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred \n Experience with model governance and monitoring in regulated environments \n Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Lead Data Scientist \n Full time \n London - Hybrid WFH model, x2 days a week onsite (Wed/Thurs)\n\n We are a fun, collaborative team based in London (though many of us work remotely for part of the week). if you’re excited by personal and professional growth, and being able to really make your mark, then this is the place for you!\n Flexible hours and hybrid working - We are in the office 2 days a week (typically Wednesdays and Thursdays), where we collaborate and learn from each other. This is matched by the balance of WFH to allow you to manage your days autonomously. \n The best tech - You will get a Macbook on your first day \n WFH set-up allowance - Along with your new laptop, we will also provide you an allowance so you can get your perfect set up sorted. \n Quarterly socials - The Yaspa team is fun and curious, so we make sure we get together to go-kart, throw darts, play board games and generally enjoy ourselves!\n Mental and physical health support - We provide you with an app that’s specially tailored to support your health, as well as access to 24-hour advice and free GP appointments. You can also access counselling and use the app for all parts of your life. \n Generous holiday allowance - As well as all the UK public bank holidays, you get 28 days of holiday to enjoy and take as you’d like. Pension (up to 3% matched contributions) - For planning ahead!\n\n Please note that as an equal opportunities employer, Yaspa is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

Yaspa is an award-winning fintech that connects identity and money to simplify and accelerate the way we pay. Founded in 2017 by a former Worldpay CTO, Yaspa uses open banking to provide instant bank payments that are faster, more secure and more cost-effective than cards, and to help regulated businesses seamlessly verify customers and their payments. Yaspa operates across the UK and Europe, is regulated by the UK’s Financial Conduct Authority, and is backed by leading investors including Fin Capital, SGH Capital & Metavallon VC. \n This milestone funding will accelerate our expansion into the US market as we continue to transform payments and identity services for regulated businesses. \n\n We are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like loans for risk management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. \n\n We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a fast-paced, agile environment and can help expand Yaspa's AI capabilities. You’ll join a close-knit, multidisciplinary team that includes frontend, backend, and full-stack developers, release engineers, and testers, with direct reporting to the CTO. Experience in the following areas is a plus: finance, open banking, iGaming, startups, or enterprise companies dealing with real-time processing. \n\n You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings \n Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency \n Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models \n Lead model deployment with an eye for performance, scalability, and real time low-latency inference \n\n Bring experience or gain knowledge to act as a subject matter expert in open banking, payment networks (ACH, RTP), and real-time risk infrastructure is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in designing and deploying real-time risk models, ideally in the context of A2A payments or other financial transaction systems is a strong plus. \n Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. \n\n Hands-on experience building and deploying ML models in Python \n SQL skills and familiarity with AWS for deployment and data workflows. \n Experience working with large-scale data \n Proven success collaborating with product and engineering teams to ship ML-based features and tools \n Proficiency with data visualisation tools such as Tableau, PowerBI \n Demonstrated ability to design and validate features using transactional and behavioral data from financial services \n Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred \n Experience with model governance and monitoring in regulated environments \n Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Lead Data Scientist \n Full time \n London - Hybrid WFH model, x2 days a week onsite (Wed/Thurs)\n\n We are a fun, collaborative team based in London (though many of us work remotely for part of the week). if you’re excited by personal and professional growth, and being able to really make your mark, then this is the place for you!\n Flexible hours and hybrid working - We are in the office 2 days a week (typically Wednesdays and Thursdays), where we collaborate and learn from each other. This is matched by the balance of WFH to allow you to manage your days autonomously. \n The best tech - You will get a Macbook on your first day \n WFH set-up allowance - Along with your new laptop, we will also provide you an allowance so you can get your perfect set up sorted. \n Quarterly socials - The Yaspa team is fun and curious, so we make sure we get together to go-kart, throw darts, play board games and generally enjoy ourselves!\n Mental and physical health support - We provide you with an app that’s specially tailored to support your health, as well as access to 24-hour advice and free GP appointments. You can also access counselling and use the app for all parts of your life. \n Generous holiday allowance - As well as all the UK public bank holidays, you get 28 days of holiday to enjoy and take as you’d like. Pension (up to 3% matched contributions) - For planning ahead!\n\n Please note that as an equal opportunities employer, Yaspa is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

Software Engineer – Next-Generation Derivatives Risk Platform #128205; Location: London (Hybrid – 1 day/week in office, flexibility for the right candidate)\n#Day Rate: £850 per day \n#Start Date: 5th January 2026\n\n We’re partnering with a global investment bank to hire an exceptional Software Engineer to join a flagship team delivering a next-generation, high-performance derivatives risk platform . \n This is a mission-critical front-office role working on real-time distributed systems with exceptional technical standards. You’ll be part of a high-calibre team solving complex engineering challenges and shaping the future of risk technology across capital markets. \n\n#Core languages: C#, Python, Rust \n Front end: JavaScript / TypeScript/ Angular/ RX JS \n Infrastructure: Kubernetes, containers, DevOps, CI/CD \n WebAssembly, AI integration, and AI frameworks \n This is a genuine technologist’s role — building critical software that combines engineering precision, scalability, and innovation. \n\n Very strong expertise in one of C#, Python or Java , ideally with working knowledge of another. Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . \n Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React \n Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . \n Experience in front-office risk, trading, or analytics systems within financial markets. \n Exposure to AI and machine learning frameworks (e.g. Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . \n Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc.). \n\n This is a flagship product being rolled out across the bank’s global capital markets division — you’ll have visibility, autonomy, and the chance to shape a platform used by thousands of front-office users. \n\n If you’re a genuine technologist who thrives on solving complex problems, exploring modern architectures, and building next-generation systems that blend AI innovation with real-time financial engineering , this is the opportunity you’ve been waiting for.

NEW CONTRACT AI ENGINEER (UK-BASED CANDIDATES)\n6 Month Initial Contract | Start ASAP | Outside IR35\n A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. Youll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. \n\n Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. \n Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. \n Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. \n Research and prototype cutting-edge AI techniques (e.g., Support continuous model improvement and scalable MLOps deployment pipelines. \n\n Core Skills: Python, TensorFlow / PyTorch, scikit-learn, OpenCV, NumPy, Pandas \n Experience With: Model training, tuning, and deployment in production environments \n Sports data analytics, time-series forecasting, or computer vision experience \n Infrastructure: AWS / GCP / Azure, Docker, Kubernetes, MLflow, CI/CD pipelines \n Bonus: Experience with wearable / sensor data, player tracking, or sports video analytics \n\n AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports

NEW CONTRACT AI ENGINEER (UK-BASED CANDIDATES)\n6 Month Initial Contract | Start ASAP | Outside IR35\n A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. Youll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. \n\n Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. \n Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. \n Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. \n Research and prototype cutting-edge AI techniques (e.g., Support continuous model improvement and scalable MLOps deployment pipelines. \n\n Core Skills: Python, TensorFlow / PyTorch, scikit-learn, OpenCV, NumPy, Pandas \n Experience With: Model training, tuning, and deployment in production environments \n Sports data analytics, time-series forecasting, or computer vision experience \n Infrastructure: AWS / GCP / Azure, Docker, Kubernetes, MLflow, CI/CD pipelines \n Bonus: Experience with wearable / sensor data, player tracking, or sports video analytics \n\n AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports

NEW CONTRACT AI ENGINEER (UK-BASED CANDIDATES)\n6 Month Initial Contract | Start ASAP | Outside IR35\n A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. Youll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. \n\n Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. \n Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. \n Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. \n Research and prototype cutting-edge AI techniques (e.g., Support continuous model improvement and scalable MLOps deployment pipelines. \n\n Core Skills: Python, TensorFlow / PyTorch, scikit-learn, OpenCV, NumPy, Pandas \n Experience With: Model training, tuning, and deployment in production environments \n Sports data analytics, time-series forecasting, or computer vision experience \n Infrastructure: AWS / GCP / Azure, Docker, Kubernetes, MLflow, CI/CD pipelines \n Bonus: Experience with wearable / sensor data, player tracking, or sports video analytics \n\n AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports

Assistant Manager – Tax Technology \n Base Location: Canary Wharf, London OR Glasgow based (Hybrid – 2 days per week in office)\n\n\n The KPMG Tax Technology & Innovation are made up of Technology Consultants, Business Analysts, Product Owners, Data Architects & Engineers, Multi-disciplinary Engineering teams and IT Service delivery professionals working on a large portfolio of systems used to improve productivity and solve key business problems across Tax & Legal. \n This business has 2500+ tax & legal professionals covering multiple disciplines. We serve many thousands of clients and private individuals by providing a modern, market-leading suite of technology solutions that provide an efficient digital experience from routine to complex tax advice. \n KPMG is one of the world's largest and most respected consultancy businesses, we've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. \n\n Why Join the KPMG Tax Technology & Innovation team as a Technology Implementation Assistant Manager?\n\n Tax is highlighted frequently as an industry where generative AI will have a significant impact on how services are provided. You will be working as a team at the forefront of navigating that change and redefining the way in which tax is determined in the UK and globally, making sure people and companies pay the right amount of tax with the minimum amount of effort. \n\n As a Tax Technology Assistant Manager, you will combine your tax and accounting expertise with cutting-edge technologies, to support our clients to navigate the ever-evolving tax landscape and transform the way we deliver tax services. \n Work closely with stakeholders to translate and articulate requirements to technical teams, including drafting proposed tax processes and design documentation \n Support with managing the design, development and implementation of KPMG and third party technology solutions for clients, including configuration and testing to ensure functionality and alignment with business objectives \n Support the development of technology solutions and propositions, participating in testing and deployment phases to ensure successful integration \n Support technology demonstrations and sales efforts \n\n A good understanding or background in accounting or tax is essential. \n An interest in technology and its application in the tax function \n Ability to quickly adapt to new technologies, concepts, and modern work practice \n Demonstrable project management experience with the ability to manage multiple priorities \n\n Accounting or tax qualification such as ACCA, ACA, or CTA or equivalent \n Experience in data analytics and visualisation tools (e.g. Alteryx, Power BI or Tableau) \n Experience in tax technology solution implementation and configuration \n Familiarity with AI and machine learning applications in tax technology \n\n To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. \n\n\n We are open to talk to talent across the country but preference will be given to candidates who are willing and able to do 2 days per week in one of our core Tech hubs for this role, which are: \n We can potentially facilitate flexible hours, and part-time options. Within Tech and Engineering we have a range of divisions and specialisms. Technology and Engineering at KPMG : \n ITs Her Future Women in Tech programme: \n KPMG Workability and Disability confidence: \n\n Applying to KPMG: \n Tips for interview: \n KPMG values: \n KPMG Competencies:

Job Title: Transaction Monitoring & Screening Advisory Manager Location: London/Birmingham (hybrid - 3 days per week on site) Length: 6 months PAYE only Overall purpose of the role We are looking for an Assistant Vice President to join IB-FC to support the business with a strong expertise in financial crime risk management, policy and regulation across IB transaction monitoring and/or screening. The primary duties of this role will be to support the completion of Transaction Monitoring Risk Assessments, ensure Barclays transaction monitoring and screening risk coverage remains commensurate to the level of business risk exposure, increase the efficiency of transaction monitoring and screening, support the implementation of strategic initiatives and business growth, manage emerging risks and issues in line with Barclays Issue Management Standards. Key Accountabilities: * Support the Senior Transaction Monitoring Advisory Manager to complete Transaction Monitoring Risk Assessments for the IB business. * Identify enhancements to IB transaction monitoring and screening risk coverage, developing appropriate solutions (in conjunction with key stakeholders) and supporting the successful delivery of identified solutions. * Identify, escalate and manage emerging transaction monitoring and screening risks and issues in line with Barclays Issue Management Standards. * Support strategic business growth by assessing the impact of new/amended products and services on the IB business risk profile and determining if transaction monitoring and screening enhancements are required. * Assess the impact of policy, regulatory changes and strategic initiatives on transaction monitoring requirements. * Enable an effective working relationship between the Product/Coverage, TM/Screening Model Owners, TM/Screening Operations and second line of defence in Financial Crime Compliance on matters relevant to transaction monitoring. * Review and challenge the transaction monitoring/screening control environment (including those undertaken by shared services or outsourced service providers). Key Skills: * Strong understanding and prior experience of transaction monitoring/screening within wholesale banking (e.g. transaction banking, correspondent banking, markets, trade finance). * Strong data analytic skills and knowledge of machine learning advantageous. * Knowledge of regulatory expectations across multiple geographies (e.g. US, UK, EU, APAC). * Experience of interacting with stakeholders across multiple jurisdictions. * Experience contributing to strategic direction incorporating a Values-aligned performance culture. * Experience focusing on developing and implementing consistent risk and control global frameworks within an organization. * Ability to deal with ambiguity and simplify outputs and recommendations. * Comfortable in fast growing and complex environments and ability to move effortlessly between strategic topics to day-to-day regulatory risks. About Barclays Barclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. Barclays businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by its service company which provides technology, operations and functional services across the Group. Values Everything Barclays does is shaped by its five values of Respect, Integrity, Service, Excellence and Stewardship. The Barclays values inform the foundations of its relationships with customers and clients, but they also shape how Barclays measures and rewards the performance of colleagues. Simply put, success is not just about what you achieve, but about how you achieve it. Diversity Barclays aims to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to Barclays vision and goals. Hybrid Working Barclays is currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. Barclays is flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. Barclays also has a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances Your Benefits As a contract employee of Randstad Sourceright, you’ll receive a wide range of financial and personal benefits. There’s enrolment in a pension plan (after 12 weeks on assignment) and holiday pay. You’ll also get 24/7 access to an Employee Assistance Programme, designed to help you deal with any problems that could be affecting your home or work life. Plus, there’s discounts at heaps of high street shops, restaurants and entertainment - from Asda to Zizzi Italian restaurants.

Our Client Founded 5 years ago and already 130 people strong (have gone from 80 to 130 people in the last 6 months) with offices in both London and SF, our client has built a robust and explosive DataOps business. Series B funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have built a product that leans into blending machine learning models and data annotation to help businesses save time and money! What You’ll Get This is a key hire, you'll be joining their founding sales team - looking to pay £70,000 - £90,000 on the base + double OTE + equity. This role is a hybrid role, although you will be expected to be in their central London office a minimum of 3 days a week. You'll get the chance to join stellar sales professionals selling a pioneering product for a young, fast-growing SaaS business. Their product is so diverse, no 2 days will be the same... One day you will be selling into an established Tech business, the next you could be selling to the NHS or even the NFL! What You’ll do Working closely with the Sales Director and the other Founding Enterprise AEs, you will play a huge part in building their European presence. You'll be closing deals £100k plus whilst trying to break into some of the world's leading brands. You must be prepared to generate some of your own pipeline. What you’ll need You will have a proven track record in complex SaaS sales, whilst also showing that you've excelled in other areas of life (academics or sport etc...). You will have previously worked towards yearly revenue targets of circa £1M or north of this. You must, must, must be willing to work in a scrappy start-up and be ready to be your own CEO!

ROLE OVERVIEW // We are offering a fantastic opportunity for a professional, engaging individual to join us as Senior Innovation Manager, as part of our London-based Innovation team within the Commercial department. The Innovation team directly supports the firmwide Innovation Committee (made up of partners and directors) and is responsible for introducing and promoting the appropriate use of legal technology. The team drives the adoption of legal technology, develops and delivers the firm’s innovation strategy, and strengthens client relationships through tailored innovation programmes. It also ensures that our lawyers are equipped with the tools, knowledge, and support they need to deliver high-quality, efficient legal advice. The role will suit someone with proven experience working in innovation or legal technology at a city or large law firm. This dynamic role offers a valuable opportunity for an experienced professional with a proven interest in legal technology and innovation to deepen their expertise and make a strategic contribution within a well-established, fast-evolving department The role is critical to many of the team’s broad range of new and exciting projects. The role will report to the Head of Innovation. KEY RESPONSIBILITIES // The key responsibilities of this role are set out below and there may be others which are not listed. You may be required on occasion to work outside our normal working hours of 9:30am to 5:30pm. Supporting and working with the Head of Innovation on all aspects of the firm’s strategic Innovation agenda and activities, including: AI and Legal tech • Supporting delivery of the firm’s legal technology and AI strategy, in support of and alignment with the firm’s overall strategic aims, to include:, • maintaining and promoting the firm’s legal tech toolkit and legal tech projects, including market research and analysis, vendor relationships, onboarding, communications, promotion, training and support., • leading on the adoption of generative AI tools, particularly conducting the assessment of generative AI tools for their suitability for use at the firm, creating the generative AI adoption plan across the business, delivering training, defining success metrics and developing communications plans., • staying abreast of emerging technologies, trends and best practices in legal innovation including by attending demos and conferences., • building and maintaining strong relationships with internal and external stakeholders, including technology vendors, legal tech communities, and industry bodies., • Developing and delivering the firm’s flagship legal tech incubator: the Collaborate legal tech programme. Project management • Managing multiple projects simultaneously, ensuring timely delivery and adherence to budget constraints., • Monitoring project progress and providing regular updates to stakeholders. Stakeholder engagement • Cultivating relationships with a broad range of stakeholders, including the firm’s partners and clients, the firm’s legal practice and other Business Services teams., • Supporting and developing opportunities for collaboration and other cross-team initiatives between Legal Ops teams (including Innovation, Pricing & Analytics and Legal Project Management), Commercial teams and other Business Services teams. Client engagement • Developing and delivering the team’s client facing initiatives, including the flagship programme: the Client Innovation Network., • Developing and maintaining relationships with clients, dealing with queries on an ad hoc basis, identifying opportunities to add clients to the Client Innovation Network and other work leads as appropriate. Culture and adoption • Promoting a culture of innovation and continuous improvement across the firm including by running the firm’s internal Innovation network., • Working with groups and departments across the firm to identify champions who can support the integration of new solutions. Training • Delivering training to a range of audiences such as work experience students, new joiners, trainees, newly qualified associates etc. on a range of innovation related topics including AI, legal tech, design thinking, legal process design etc., • Working closely with the firm’s L&D team on the design of the innovation related training delivered to future trainees. Recruitment assistance • Working closely with the firm’s Early Careers team to refine the messaging to future trainees and solicitor apprentices., • Running the firm’s Innovation Competition for students and promoting the competition through the design of social media campaigns and the delivery of webinars. Team • Managing and developing members of the team including an Innovation Manager and Innovation Executive., • Creating a collaborative environment that encourages creativity and professional growth., • Setting performance goals, conducting regular reviews, and providing feedback to team members. CANDIDATE PROFILE // Candidates for this position must: • Have 5+ years’ experience working in a professional services environment, ideally a law firm, with a good understanding of legal workflows., • Proven experience in legal service innovation, delivery of legal technology projects, process improvement, and delivery of client initiatives., • Proven knowledge of AI, machine learning, and other emerging technologies relevant to the legal sector., • Have strong digital and technology skills including familiarity with Power BI and Power Automate., • Have strong interpersonal, presentation and communication skills and the ability to work well within a team., • Demonstrate attention to detail and high standards of quality, professionalism and client service., • Evidence strong organisational and time management skills, with the ability to multi-task, keep calm under pressure and work to tight deadlines whilst remaining proactive and flexible., • Be collaborative and supportive of the business, the team and its initiatives., • Be adaptable and open to change and show willingness and confidence to challenge and make suggestions for change where appropriate., • Maintain a high level of professionalism and integrity, displaying a high standard of professional ethics. We welcome applications irrespective of race, colour, ethnic or national origin, disability, sex, gender identity, sexual orientation, age, religion, belief or marital status.

Location: London, UK (on-site) Company: Henderson Rowe Employment Type: Full-time Company Description Henderson Rowe is an investment management firm based in London, providing portfolio management and wealth advisory services to private clients, family offices, businesses and charities. Our approach to investment combines machine learning with human intuition, which is provided to clients with a high-touch and personalised service. Our culture is collaborative, client-focused, and entrepreneurial. Whilst this makes for a dynamic environment, it’s ideal for professionals who can solve problems, thrive in teams, and relentlessly strive for excellence. As part of our continued growth, we are seeking a proactive and organised Team Assistant to support our Investment Management team. Role Description We are looking for a junior and ambitious individual to join our growing sales team. This is a client-facing role and the first step towards becoming a qualified investment manager. The role requires drive and an eagerness to learn, regardless of background. Training will be provided, so the ideal candidate will either be a recent graduate looking to build a career in investment management or an individual with proven success in another industry that wishes to start a career in investment management. Our ideal candidate will be able to demonstrate two things: a desire for personal excellence and a strong sense of integrity. With those, we’ll help you build an extraordinary career within this industry. Key Responsibilities: • Develop knowledge and understanding of investment and wealth management in the UK., • Build a strong comprehension of Henderson Rowe’s philosophy, strategies and product suite, and be able to communicate this clearly to investors., • Engage with prospective investors who are either appropriate clients or interested in working with us., • Schedule and hold calls with investors to understand their objectives and arrange relevant next steps., • Demonstrate our value and points of difference to help turn leads into prospective clients., • Support the investment management team during the meeting and client onboarding process. Eg: preparing relevant materials and following up on action items, • Update CRM system with accurate data and activities., • Uphold regulatory standards in line with FCA and compliance requirements What We're Looking For: If you can demonstrate aptitude, enthusiasm, and strong interpersonal skills, then we would like to hear from you. That said, there are preferred skillsets that help make for a strong application: • Demonstrated success in a sales or client-facing environment., • Experience in relevant financial services (ie: wealth management, private banking, advisory)., • Natural organisational and problem-solving skills., • University degree in a relevant discipline., • Personal interest in investment and portfolio management., • Familiarity with financial terms and concepts., • Progress or interest in pursuing relevant professional qualifications., • Experience with CRM systems (Salesforce preferred). How to Apply Please send your CV and a short cover letter outlining your interest in the role to [].

Data Engineer | AI Startup | Real-Time Data & ML Pipelines Im currently partnered with a next-generation AI startup thats building real-time intelligence systems capable of understanding and adapting to the world as it happens. Theyre at the forefront of streaming data, continuous learning, and large-scale inference - and theyre now looking for a Data Engineer to help power that mission. This isnt a maintenance role. Its a build-it-from-the-ground-up opportunity in a company thats solving genuinely hard, technical problems around real-time data pipelines and ML infrastructure. The Opportunity The team is looking for a Data Engineer who can design and scale real-time data architectures and machine learning pipelines that drive continuous model training and experimentation. Youll be working in close collaboration with ML engineers, product leads, and platform teams to make sure the companys AI models are learning, and improving, in production. What Youll Be Doing • Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink), • Build robust feature pipelines using Airflow, Prefect, or Dagster, • Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake), • Automate and scale model training pipelines in close partnership with ML engineers, • Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt, • Champion data reliability, scalability, and performance across the platform The Tech Environment Youll likely be working with some combination of: • Languages: Python, Scala, Go, • Streaming: Kafka / Flink / Spark Structured Streaming, • Workflow orchestration: Airflow / Prefect / Dagster, • Data storage & processing: Snowflake / Detabricks / BigQuery / Redshift, • Infrastructure: Docker / Kubernetes / Terraform / dbt, • Monitoring: Prometheus / Grafana / OpenTelemetry, • Cloud: AWS / GCP / Azure What Theyre Looking For • Proven experience building scalable data pipelines in real-time or near real-time environments, • Strong background in data architecture, performance tuning, and distributed systems, • Comfort working end-to-end - from data ingestion to model-ready outputs, • An interest in AI, ML ops, and data-driven product development, • Someone who thrives in fast-moving, high-ownership start-up environments Why This Role? • Join a well-funded AI startup with massive growth potential, • Be the first Data Engineer, shaping the entire data backbone, • Work with exceptionally talented engineers and researchers solving real-world AI problems, • Competitive package, plus meaningful equity, • A culture that values autonomy, creativity, and continuous learning Interested? If youve built or scaled data pipelines in production and want to be part of something genuinely cutting-edge, Id love to chat. Drop me a message here on LinkedIn or send over your details - happy to share more about the team, the vision, and what theyre building.

🔥 Who We Are At Ultralytics, we are shaping the future of Vision AI. Our groundbreaking YOLO (You Only Look Once) models are the world’s most widely used open-source object detection tools, empowering millions of developers and enterprises to build intelligent applications that see and understand the world. Now backed by a $30M Series A, we are scaling our commercial team to bring the next generation of Ultralytics HUB, our no-code SaaS platform for deploying and managing AI models, to more customers around the globe. We move fast, set ambitious goals, and hire only the top 1% of talent ready to help define what comes next in AI. 🌎 Location and Legalities This full-time Account Executive position is based in London, UK, with a hybrid model requiring a minimum of three days per week in-office. Applicants must have legal authorization to work in the United Kingdom, as Ultralytics does not provide visa sponsorship. 🚀 What You’ll Do As an Account Executive at Ultralytics, you will play a pivotal role in driving our commercial growth. You will own the entire sales cycle from prospecting and discovery through to closing. You will engage directly with technical buyers such as ML Engineers, CTOs, and Product Leads who already recognize and value our products. Your mission is to convert that recognition into revenue and long-term partnerships. Your key responsibilities include: • Leading the full sales process, including outbound prospecting, cold outreach, demos, and closing., • Managing a mix of inbound and outbound opportunities, with approximately 60–70% outbound., • Closing deals ranging from $5,000 to six figures, including several active opportunities exceeding $100,000., • Selling globally across diverse industries, from automotive and manufacturing to healthcare and defense. 💥 Why This Role and Why Now • Be part of a once-in-a-decade AI success story with an enormous open-source following and clear product-market fit., • Join at the moment when Ultralytics is transitioning from foundation building to large-scale global growth., • Sell a product that engineers and CTOs already use and love, giving you an authentic advantage in every conversation., • Work directly with leadership, including Founder Glenn Jocher, and influence the direction of our commercial strategy., • Benefit from rapid career growth opportunities as our GTM and sales structure continue to expand. 🛠️ Must-Haves • Minimum of three years of closing experience in B2B SaaS or technology sales, ideally within a startup or scale-up under 50 employees., • Proven track record of outbound sales success, including building pipeline from scratch., • Experience selling to technical personas such as CTOs, ML Engineers, and Product Leads., • Strong adaptability, creativity, and bias for action., • Entrepreneurial mindset with comfort operating in fast-changing, high-growth environments. ✨ Nice-to-Haves • Background in AI, Machine Learning, or Vision AI technologies., • Familiarity with YOLO or other open-source developer ecosystems., • Experience closing high-value enterprise deals of $100,000 or more., • Exposure to international markets and global sales., • Hands-on experience with HubSpot or Clay. ⚙️ Hiring Process • Initial Screen, • Case Study, • Final Interview 🌟 Culture and Environment At Ultralytics, you will join a team of world-class builders and innovators shaping the future of Vision AI. We move fast, set bold goals, and operate with genuine ownership because that is what it takes to stay at the frontier of AI. You will be surrounded by some of the brightest minds in engineering, product, and go-to-market, all united by a shared belief in excellence, collaboration, and impact. If you are driven by curiosity, thrive in dynamic environments, and want to help define how machines see and understand the world, you will feel right at home here. 💶 Compensation and Benefits • Competitive base salary with a performance-based commission structure, • Equity participation in Ultralytics’ growth, • Hybrid model with at least three days per week in our new London office, • 24 days annual leave plus your birthday off and local holidays, • Flexible working hours, • Brand-new Apple MacBook and Apple Display, • Opportunity to work on groundbreaking AI projects in a passionate, collaborative team 💬 Ready to Join the Rocket Ship? If you have experience selling to technical buyers, thrive in fast-paced environments, and want to make your mark at one of the most influential Vision AI companies in the world, Ultralytics is ready to meet you.

Data Engineer | AI Startup | Real-Time Data & ML Pipelines Ready to make your application Please do read through the description at least once before clicking on Apply. I’m currently partnered with a next-generation AI startup that’s building real-time intelligence systems capable of understanding and adapting to the world as it happens. They’re at the forefront of streaming data, continuous learning, and large-scale inference - and they’re now looking for a Data Engineer to help power that mission. This isn’t a maintenance role. It’s a build-it-from-the-ground-up opportunity in a company that’s solving genuinely hard, technical problems around real-time data pipelines and ML infrastructure. The Opportunity The team is looking for a Data Engineer who can design and scale real-time data architectures and machine learning pipelines that drive continuous model training and experimentation. You’ll be working in close collaboration with ML engineers, product leads, and platform teams to make sure the company’s AI models are learning, and improving, in production. What You’ll Be Doing • Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink), • Build robust feature pipelines using Airflow, Prefect, or Dagster, • Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake), • Automate and scale model training pipelines in close partnership with ML engineers, • Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt You’ll likely be working with some combination of: • Languages: Python, Scala, Go, • Streaming: Kafka / Flink / Spark Structured Streaming, • Workflow orchestration: Airflow / Prefect / Dagster, • Data storage & processing: Snowflake / Detabricks / BigQuery / Redshift, • Infrastructure: Docker / Kubernetes / Terraform / dbt, • Monitoring: Prometheus / Grafana / OpenTelemetry, • Proven experience building scalable data pipelines in real-time or near real-time environments, • Strong background in data architecture, performance tuning, and distributed systems, • Comfort working end-to-end - from data ingestion to model-ready outputs, • An interest in AI, ML ops, and data-driven product development, • Join a well-funded AI startup with massive growth potential, • Be the first Data Engineer, shaping the entire data backbone, • Work with exceptionally talented engineers and researchers solving real-world AI problems, • Competitive package, plus meaningful equity If you’ve built or scaled data pipelines in production and want to be part of something genuinely cutting-edge, I’d love to chat. Drop me a message here on LinkedIn or send over your details - happy to share more about the team, the vision, and what they’re building.

Data Engineer | AI Startup | Real-Time Data & ML Pipelines Im currently partnered with a next-generation AI startup thats building real-time intelligence systems capable of understanding and adapting to the world as it happens. Theyre at the forefront of streaming data, continuous learning, and large-scale inference - and theyre now looking for a Data Engineer to help power that mission. Its a build-it-from-the-ground-up opportunity in a company thats solving genuinely hard, technical problems around real-time data pipelines and ML infrastructure . The team is looking for a Data Engineer who can design and scale real-time data architectures and machine learning pipelines that drive continuous model training and experimentation. Youll be working in close collaboration with ML engineers, product leads, and platform teams to make sure the companys AI models are learning, and improving, in production. Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Champion data reliability, scalability, and performance across the platform Languages: Python, Scala, Go Data storage & processing: Cloud: AWS / GCP / Azure Proven experience building scalable data pipelines in real-time or near real-time environments Strong background in data architecture, performance tuning, and distributed systems Comfort working end-to-end - from data ingestion to model-ready outputs An interest in AI, ML ops, and data-driven product development Join a well-funded AI startup with massive growth potential Be the first Data Engineer , shaping the entire data backbone Work with exceptionally talented engineers and researchers solving real-world AI problems If youve built or scaled data pipelines in production and want to be part of something genuinely cutting-edge, Id love to chat. Drop me a message here on LinkedIn or send over your details - happy to share more about the team, the vision, and what theyre building.

This is a 3 month part-time contract role - perfect for someone that is ready to jump in and make an immediate impact. Hybrid working - dog-friendly office around Old Street; 2-3 days a week in the office. Wee using machine learning to move energy usage to times when electricity is cheap and green.

Data Engineer 45,00070,000 London (3 days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. Youll work alongside experienced engineers and data scientists to shape and evolve the platform that underpins all data-driven decisions including the development of real-time streaming capabilities using tools like Kafka. This is a great opportunity for someone with early career experience in data engineering whos ready to deepen their technical expertise and make a tangible impact in a creative, fast-paced environment. Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute to the evolution of data engineering practices, tooling, and automation Collaborate with analytics, product, and data science teams to make data accessible and trustworthy 23 years of experience in data engineering or a similar role ~ Strong SQL skills and proficiency in at least one programming language (ideally Python) ~ Understanding of data warehousing concepts and ETL/ELT patterns ~ Experience with version control (Git), testing, and code review practices ~ Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) ~ Exposure to modern data tools such as Airflow, dbt, or Snowflake ~ Interest in MLOps and modern data engineering best practices Youll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers. 45,00070,000 depending on experience ~3 days per week in the central London office ~ Hybrid and flexible working

Job Type: Full-Time. Starting Salary: £49017 - £57472 per annum + 49017 plus benefits To find out more about the job please click the ‘apply for job’ button to be taken to Imperial job site About the role Applications are invited for a Postdoctoral Research Associate to Join a world-leading team of mathematical scientists at Imperial College London working on the EPSRC Programme Grant DataSig II, a transformative initiative at the intersection of rough path theory and modern machine learning. This ambitious, multi-institutional collaboration aims to redefine how streamed data is modelled and processed-unlocking new capabilities in generative AI, anomaly detection, and real-time decision-making. What you would be doing Key scientific challenges you'll help tackle: • Next-generation Transformers: Develop mathematically grounded architectures for continuous, multimodal data streams., • Efficient Representations: Create robust, interpretable, and scalable representations using signature and path development techniques The successful candidates will play a central role in shaping the theoretical and computational tools that underpin the programme's vision. If you are passionate about mathematics, machine learning, and making a real-world impact, we encourage you to apply and help shape the future of streamed data science. What we are looking for The essential requirements for this post are as follows: • Hold (or be near completion of) a PhD in Mathematics or a closely related field relevant to the Programme., • Strong grounding in mathematical foundations relevant to the Programme, such as rough path theory, controlled differential equations, or stochastic analysis., • Understanding of modern machine learning techniques, especially those related to streamed data, transformers, or LLMs., • Ability to develop and apply new concepts., • Creative approach to problem-solving., • Ability to carry out original research and to produce published research papers., • Ability to identify, develop and apply concepts, techniques and methods in new contexts., • The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity., • Grow your career with access to Imperial's sector-leading ___ as well as opportunities for promotion and progression. The position is fixed term for 24 months. The expected start date is 1st January or soon thereafter. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range, £43,863 - £47,223 per annum. In addition to completing the online application, candidates should attach: • A full CV,, • A 2-page research statement describing why the candidate's expertise is relevant to this position and future research plans; and

This role is one of several new roles being recruited under the new Leverhulme Centre for Research on Slavery in War, which is based in the School of Security Studies, King’s College London. The new Centre is structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—and aims for far-reaching, historically informed insights that transform understandings of war and global responses to modern slavery in conflict settings. The role falls under the “Understanding” strand, and the postholder will be based in the Department of War Studies in the Faculty of Social Science and Public Policy. The Understanding strand will map the distribution, prevalence and forms of slavery across diverse conflict zones in the modern world, building a new analytical paradigm to understand the phenomenon of slavery in war since the 1790s. The postholder will bring historical expertise to the team, supporting work to develop the Centre’s datasets and the team’s use of data analytics and machine learning. Together, this Centre strand team will build a blended data resource and sets of case studies that can help to gauge the prevalence, forms, and distribution of slavery in wars from 1791 to the present, and to understand the ways slavery and war have shaped each other as phenomena. Key research questions include: How have forms of slavery manifested in wars throughout modern history ? What factors explain how slavery has manifested in wars? How can diverse datasets be synthesised and analysed to research and address slavery in war? The role-holder will work collaboratively as part of an interdisciplinary team including King’s College London colleagues from War Studies, Digital Humanities and Law, and with colleagues at our partner institution (University of Nottingham) as well as undertaking independent research. They will use approaches, methodologies, and techniques appropriate to the research. The role-holder will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio within the thematic area of slavery in war. They will have a public-facing role and represent the team externally. There will be opportunities to work collaboratively with people who have lived experience of slavery, trafficking, and exploitation in conflict settings. This work is international in scope and covers a wide range of different substantive issues and approaches connected to slavery in war, as well as various different forms of exploitation and contexts. Applications are therefore welcome from researchers who wish to bring a particular perspective, lens, or approach to the work of the Centre. This is a full time (35 Hours per week), and you will be offered an fixed term contract until 31-Dec-2027. To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria • PhD in History or closely related subject area, • Significant experience in working with historical archives, texts and other data sources and repositories, producing critical analysis of data, evaluating texts and bringing new insights., • Proven track record in planning and managing to completion research activity and meeting own/team research objectives and deadlines in collaboration with others., • Strong skills in qualitative and/or quantitative comparative methods, • A track record of publication in slavery (including forced labour and human trafficking), human rights, war, conflict, or related subjects., • Strong organisational and project management skills, • Experience of working effectively with technical teams in the successful development of complex data resources, • Language skills enabling archival research in one or more language(s) other than English, • Publication track record in one or more language(s) other than English, • Demonstrated ability to develop interdisciplinary approaches and research methods., • Experience in knowledge transfer and methods between areas/ disciplines. Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. • Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.