3003 Accenture (UK) Limited Company
Overview Job Role: AI Engineer - Strategy Consultant Location: London Career Level: 9 Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual, and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. QuantAI is building cutting-edge AI-native decision-system assets for energy, commodities, financial, trading, and industrial operations. We are looking for engineers who can take strong quantitative and artificial intelligence (AI) work and turn it into enterprise-safe products: interfaces, packaged desktop applications, APIs, services, workflow systems, and demos that are credible enough for pilots and durable enough for scaled delivery. Success here is not raw model novelty or polished demos in isolation. It is strong algorithms wrapped in workflow, governance, evaluation, and packaging. This role is engineer-first and shipping-first. The engineering covers two surfaces that both ship as product: conventional systems on one side, agent-assisted systems on the other. The team is too small for either to be someone else's problem, and you should be able to operate across both-though you will likely lead with strength in one. What you'd work on Turn quantitative prototypes into reusable tools, services, packaged desktop applications, interfaces, and workflow products that can move from internal demo to client pilot to scaled offer. Ship across both cloud-hosted services and locally distributed desktop applications, including Electron-based apps when the workflow or client environment calls for it. Build enterprise hardening into the productization layer, including authentication, role-based access control (RBAC), observability, security, release quality, cost controls, and deployment discipline. Build evaluation, regression, and release discipline into the productization layer so model logic and agent behavior remain measurable as systems change. Work closely with the quant lead so model logic, evaluation intent, and governance requirements survive the move into production. Make pragmatic architecture choices across large language models (LLMs), deterministic rules, and hybrid systems based on value, latency, cost, and reliability. Help shape repeatable build patterns so strong prototypes become faster, more reliable, and more reusable over time. Platforms and interfaces Own data flows, APIs, services, model-serving surfaces, front-end and desktop application surfaces, CI/CD, and demo hardening. Build the systems that make quantitative work feel polished, reliable, and enterprise-ready for expert users and client stakeholders. Agent-assisted systems Own the agentic harness layer - evaluation frameworks, reviewer loops, control-plane behavior, orchestration, and tool integration - that applications and MCPs wrap around. Design opinionated harnesses that expose through MCP or similar integration patterns without overfitting to one vendor or one moment in the tooling market. Must-have Bachelor's degree in computer science, engineering, mathematics, physics, economics, or a related field. An associate degree is acceptable with at least 2 additional years of directly relevant experience and evidence of shipped engineering work. Minimum 3 years of experience in consulting or other client-facing technical delivery roles, with evidence of moving products, internal tools, or workflow systems beyond proof-of-concept. Minimum 3 years of hands-on experience in one or more of: backend services, APIs and integrations, full-stack delivery, data pipelines, model-serving or machine learning workflows, or agentic orchestration systems. Strong coding ability in Python plus one complementary engineering surface such as TypeScript or JavaScript, front-end delivery, cloud or platform engineering, or infrastructure automation. Experience with enterprise hardening and evaluation, including authentication, RBAC, observability, security, release discipline, regression testing, or experiment frameworks for AI/machine learning/agentic workflows. Nice-to-have Experience with tool-using systems, retrieval, evaluation pipelines, agent orchestration, or MCP-style integrations. Experience building expert-facing interfaces, workflow products, or technical demos for real users. Experience packaging desktop applications or supporting Windows-heavy enterprise environments. Exposure to forecasting, anomaly detection, optimization, time-series workflows, or other decision-support tasks. Experience in energy, commodities, financial, trading, market operations, or industrial workflows. Team and environment QuantAI sits between quantitative research, agentic engineering, and product delivery inside Accenture. The team is small, hands-on, and built for people who want visible ownership and the chance to build something lasting. The goal is reusable assets clients can trust, buy, and scale. Direct technical feedback, growing scope, and close collaboration with quants and practice leadership are expected. This is a small-team build environment with real route-to-market access in energy, commodities, financial, trading, and industrial decision systems. The work needs to stand up in front of business decision makers and operators, not just engineers. Equal Employment Opportunity We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at Application note Equal Employment Opportunity Statement (continued): We believe that no one should be discriminated against because of their differences. The rest of the components are included above as part of the standard EEO language.
Overview Job Role: AI Engineer - Strategy Consultant Location: London Career Level: 9 Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual, and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. QuantAI is building cutting-edge AI-native decision-system assets for energy, commodities, financial, trading, and industrial operations. We are looking for engineers who can take strong quantitative and artificial intelligence (AI) work and turn it into enterprise-safe products: interfaces, packaged desktop applications, APIs, services, workflow systems, and demos that are credible enough for pilots and durable enough for scaled delivery. Success here is not raw model novelty or polished demos in isolation. It is strong algorithms wrapped in workflow, governance, evaluation, and packaging. This role is engineer-first and shipping-first. The engineering covers two surfaces that both ship as product: conventional systems on one side, agent-assisted systems on the other. The team is too small for either to be someone else's problem, and you should be able to operate across both-though you will likely lead with strength in one. What you'd work on Turn quantitative prototypes into reusable tools, services, packaged desktop applications, interfaces, and workflow products that can move from internal demo to client pilot to scaled offer. Ship across both cloud-hosted services and locally distributed desktop applications, including Electron-based apps when the workflow or client environment calls for it. Build enterprise hardening into the productization layer, including authentication, role-based access control (RBAC), observability, security, release quality, cost controls, and deployment discipline. Build evaluation, regression, and release discipline into the productization layer so model logic and agent behavior remain measurable as systems change. Work closely with the quant lead so model logic, evaluation intent, and governance requirements survive the move into production. Make pragmatic architecture choices across large language models (LLMs), deterministic rules, and hybrid systems based on value, latency, cost, and reliability. Help shape repeatable build patterns so strong prototypes become faster, more reliable, and more reusable over time. Platforms and interfaces Own data flows, APIs, services, model-serving surfaces, front-end and desktop application surfaces, CI/CD, and demo hardening. Build the systems that make quantitative work feel polished, reliable, and enterprise-ready for expert users and client stakeholders. Agent-assisted systems Own the agentic harness layer - evaluation frameworks, reviewer loops, control-plane behavior, orchestration, and tool integration - that applications and MCPs wrap around. Design opinionated harnesses that expose through MCP or similar integration patterns without overfitting to one vendor or one moment in the tooling market. Must-have Bachelor's degree in computer science, engineering, mathematics, physics, economics, or a related field. An associate degree is acceptable with at least 2 additional years of directly relevant experience and evidence of shipped engineering work. Minimum 3 years of experience in consulting or other client-facing technical delivery roles, with evidence of moving products, internal tools, or workflow systems beyond proof-of-concept. Minimum 3 years of hands-on experience in one or more of: backend services, APIs and integrations, full-stack delivery, data pipelines, model-serving or machine learning workflows, or agentic orchestration systems. Strong coding ability in Python plus one complementary engineering surface such as TypeScript or JavaScript, front-end delivery, cloud or platform engineering, or infrastructure automation. Experience with enterprise hardening and evaluation, including authentication, RBAC, observability, security, release discipline, regression testing, or experiment frameworks for AI/machine learning/agentic workflows. Nice-to-have Experience with tool-using systems, retrieval, evaluation pipelines, agent orchestration, or MCP-style integrations. Experience building expert-facing interfaces, workflow products, or technical demos for real users. Experience packaging desktop applications or supporting Windows-heavy enterprise environments. Exposure to forecasting, anomaly detection, optimization, time-series workflows, or other decision-support tasks. Experience in energy, commodities, financial, trading, market operations, or industrial workflows. Team and environment QuantAI sits between quantitative research, agentic engineering, and product delivery inside Accenture. The team is small, hands-on, and built for people who want visible ownership and the chance to build something lasting. The goal is reusable assets clients can trust, buy, and scale. Direct technical feedback, growing scope, and close collaboration with quants and practice leadership are expected. This is a small-team build environment with real route-to-market access in energy, commodities, financial, trading, and industrial decision systems. The work needs to stand up in front of business decision makers and operators, not just engineers. Equal Employment Opportunity We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at Application note Equal Employment Opportunity Statement (continued): We believe that no one should be discriminated against because of their differences. The rest of the components are included above as part of the standard EEO language.
DRW Holdings, LLC.
Senior Software Engineer - Data Integration Job Location London Employment type Regular Department Technology Targeted Start Date Immediate DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Senior Software Engineer on our Platform Data-Integration team, you will play an integral role in building systems and tools that allow users to discover and share data across the DRW organization. You will work alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm's data and platform tools. What you will do in this role Design and deliver software services and data tools that expand the data delivery capabilities of DRW's Data Platform. Define architectural patterns, standards, and technology decisions for the team. Apply these decisions to new solutions, as well as to evolve legacy systems. Collaborate with teams across the organization to enable standardized data access. Apply platform thinking to solve problems in a repeatable way at scale with standard 3rd party, open source, and in-house toolsets. Develop AI workflows to improve team processes and accelerate feature delivery. What you will need in this role 8+ years of experience designing, developing, and delivering data-heavy software services. Excellent written and verbal communication skills. Proven ability to work in a collaborative, agile, and fast paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment. Strong technical problem solving skills. Comfort working within a globally distributed team. Expertise in Python, Java, or C#. Expertise in multiple programming paradigms, design patterns, and refactoring. Experience with multiple data storage technologies (e.g. RDBMS, NoSQL, Cassandra, Kafka, etc.) and knowledge of their associated trade offs. Experience designing software in multiple architectural styles (e.g. Service Oriented, Event Driven, Monolithic, etc.). Experience building distributed systems which include load balancing, horizontal scaling, and data processing. Experience confidently discussing trade offs between different technology and architectural choices and driving them to consensus. Experience with multiple data formats and serialization systems (e.g. Protobuf/gRPC, Avro, Thrift, JSON, etc.). Experience owning products end to end, from requirements through operations. Experience responding to, managing, and resolving incidents. Experience managing and observing workloads in a Kubernetes environment. Experience mentoring junior software engineers. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at .
Senior Software Engineer - Data Integration Job Location London Employment type Regular Department Technology Targeted Start Date Immediate DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Senior Software Engineer on our Platform Data-Integration team, you will play an integral role in building systems and tools that allow users to discover and share data across the DRW organization. You will work alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm's data and platform tools. What you will do in this role Design and deliver software services and data tools that expand the data delivery capabilities of DRW's Data Platform. Define architectural patterns, standards, and technology decisions for the team. Apply these decisions to new solutions, as well as to evolve legacy systems. Collaborate with teams across the organization to enable standardized data access. Apply platform thinking to solve problems in a repeatable way at scale with standard 3rd party, open source, and in-house toolsets. Develop AI workflows to improve team processes and accelerate feature delivery. What you will need in this role 8+ years of experience designing, developing, and delivering data-heavy software services. Excellent written and verbal communication skills. Proven ability to work in a collaborative, agile, and fast paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment. Strong technical problem solving skills. Comfort working within a globally distributed team. Expertise in Python, Java, or C#. Expertise in multiple programming paradigms, design patterns, and refactoring. Experience with multiple data storage technologies (e.g. RDBMS, NoSQL, Cassandra, Kafka, etc.) and knowledge of their associated trade offs. Experience designing software in multiple architectural styles (e.g. Service Oriented, Event Driven, Monolithic, etc.). Experience building distributed systems which include load balancing, horizontal scaling, and data processing. Experience confidently discussing trade offs between different technology and architectural choices and driving them to consensus. Experience with multiple data formats and serialization systems (e.g. Protobuf/gRPC, Avro, Thrift, JSON, etc.). Experience owning products end to end, from requirements through operations. Experience responding to, managing, and resolving incidents. Experience managing and observing workloads in a Kubernetes environment. Experience mentoring junior software engineers. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at .