Harnham - Data & Analytics Recruitment
Sheffield, Yorkshire
Lead AI Engineer £80,000 - £90,000 Sheffield (Hybrid, 1-2 days a week) A rare opportunity to step into a Lead level role where you will shape a new AI function and play a direct role in transforming how a digital insurer operates. You will build production grade AI systems, influence architecture, and drive agentic automation with a clear path to impact and visibility. THE COMPANY They are a technology driven insurance provider specialising in complex and non-standard home risks. Their model blends advanced AI capability with digital platforms to deliver a faster, smarter customer experience. You would be one of the first hires into this team, joining at a genuinely pivotal moment THE ROLE As a Lead AI Engineer you can expect to be involved in the following: Build production-ready AI agents on GCP using modern frameworks and Google's ADK. Develop scalable RAG pipelines spanning ingestion, text processing and vector search. Integrate AI systems into policy, claims and CRM platforms through REST and JSON APIs. Implement monitoring, evaluation, A/B testing and cost or latency dashboards. Contribute to broader AI architecture and help shape engineering patterns and strategy. Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production. SKILLS AND EXPERIENCE The successful Lead AI Engineer will have the following skills and experience: Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling. Strong Python skills and experience developing APIs and production AI systems. Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks. Familiarity with LangChain, LangGraph or similar agentic frameworks. Solid engineering fundamentals including Docker, Kubernetes and CI/CD. BENEFITS The successful Lead AI Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience Hybrid working with 1-2 office days in Sheffield. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Mar 25, 2026
Full time
Lead AI Engineer £80,000 - £90,000 Sheffield (Hybrid, 1-2 days a week) A rare opportunity to step into a Lead level role where you will shape a new AI function and play a direct role in transforming how a digital insurer operates. You will build production grade AI systems, influence architecture, and drive agentic automation with a clear path to impact and visibility. THE COMPANY They are a technology driven insurance provider specialising in complex and non-standard home risks. Their model blends advanced AI capability with digital platforms to deliver a faster, smarter customer experience. You would be one of the first hires into this team, joining at a genuinely pivotal moment THE ROLE As a Lead AI Engineer you can expect to be involved in the following: Build production-ready AI agents on GCP using modern frameworks and Google's ADK. Develop scalable RAG pipelines spanning ingestion, text processing and vector search. Integrate AI systems into policy, claims and CRM platforms through REST and JSON APIs. Implement monitoring, evaluation, A/B testing and cost or latency dashboards. Contribute to broader AI architecture and help shape engineering patterns and strategy. Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production. SKILLS AND EXPERIENCE The successful Lead AI Engineer will have the following skills and experience: Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling. Strong Python skills and experience developing APIs and production AI systems. Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks. Familiarity with LangChain, LangGraph or similar agentic frameworks. Solid engineering fundamentals including Docker, Kubernetes and CI/CD. BENEFITS The successful Lead AI Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience Hybrid working with 1-2 office days in Sheffield. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Senior / Lead Data Engineer London, Hybrid. (1-3 Days in London) Up to £90,000 plus 25% bonus. This is an exciting opportunity to lead data engineering within a growing organisation that is scaling its cloud data platform. You will take technical ownership of GCP data architecture, guide engineering standards, and deliver high quality pipelines that enable analytics and product teams across the business. The Company They are investing heavily in modern data capabilities and are building a cloud-native environment to support their next phase of growth. Their teams work collaboratively across engineering, analytics, and product, creating an environment where data reliability, scalability, and innovation are core priorities. You will join a function where your leadership has clear impact on technical strategy and delivery. The Role Lead the design and build of scalable data pipelines and platform components in GCP. Guide and develop data engineers, ensuring strong engineering practices and delivery standards. Create and maintain reliable batch and streaming workflows using GCP native tools. Develop robust data models and ensure high quality, well-documented datasets. Champion data quality, governance, observability, and continuous improvement. Partner with cross-functional teams to translate business needs into technical solutions. Contribute hands-on to complex engineering challenges and architectural decisions. Your Skills and Experience Strong commercial experience working with GCP data tooling, including BigQuery, Cloud Storage, Pub/Sub, and Dataflow. Proficiency in Python and SQL for building well-structured, production-grade pipelines. Familiarity with infrastructure as code, ideally Terraform. Experience leading technical delivery or guiding engineering standards. Comfortable operating across architecture, hands-on engineering, and collaboration with non-technical stakeholders. Strong awareness of data quality, testing, monitoring, and modern ELT patterns. What They Offer Salary up to £90,000 plus 25% bonus. Hybrid working with office flexibility. Pension and a comprehensive benefits package. Dedicated training and development budget. Opportunity to shape data engineering strategy and influence long-term platform decisions. Clear progression pathways within an expanding data function. How to Apply If this opportunity sounds like a good match, please apply with your CV.
Mar 25, 2026
Full time
Senior / Lead Data Engineer London, Hybrid. (1-3 Days in London) Up to £90,000 plus 25% bonus. This is an exciting opportunity to lead data engineering within a growing organisation that is scaling its cloud data platform. You will take technical ownership of GCP data architecture, guide engineering standards, and deliver high quality pipelines that enable analytics and product teams across the business. The Company They are investing heavily in modern data capabilities and are building a cloud-native environment to support their next phase of growth. Their teams work collaboratively across engineering, analytics, and product, creating an environment where data reliability, scalability, and innovation are core priorities. You will join a function where your leadership has clear impact on technical strategy and delivery. The Role Lead the design and build of scalable data pipelines and platform components in GCP. Guide and develop data engineers, ensuring strong engineering practices and delivery standards. Create and maintain reliable batch and streaming workflows using GCP native tools. Develop robust data models and ensure high quality, well-documented datasets. Champion data quality, governance, observability, and continuous improvement. Partner with cross-functional teams to translate business needs into technical solutions. Contribute hands-on to complex engineering challenges and architectural decisions. Your Skills and Experience Strong commercial experience working with GCP data tooling, including BigQuery, Cloud Storage, Pub/Sub, and Dataflow. Proficiency in Python and SQL for building well-structured, production-grade pipelines. Familiarity with infrastructure as code, ideally Terraform. Experience leading technical delivery or guiding engineering standards. Comfortable operating across architecture, hands-on engineering, and collaboration with non-technical stakeholders. Strong awareness of data quality, testing, monitoring, and modern ELT patterns. What They Offer Salary up to £90,000 plus 25% bonus. Hybrid working with office flexibility. Pension and a comprehensive benefits package. Dedicated training and development budget. Opportunity to shape data engineering strategy and influence long-term platform decisions. Clear progression pathways within an expanding data function. How to Apply If this opportunity sounds like a good match, please apply with your CV.
Job title: Lead Digital Analyst Contract: Permanent Salary: £56,626 - £62,919 DOE Location: London - Hybrid Application closing date: Friday 20th March 2026 Job Purpose BMJ is a global healthcare knowledge provider. To support our vision for a healthier world, our digital infrastructure must be engineered for precision. We are recruiting a Lead Digital Analyst to serve as the architect of our digital measurement frameworks. This is a position of strategic authority, not a traditional tagging role. You will bridge the gap between technical engineering and stakeholder insight, ensuring our data foundations are trusted, privacy-centric, and robust. As a senior member of BMJ s Data function, you will own the integrity of our digital analytics infrastructure and provide end-to-end technical oversight across our platforms. By minimising technical debt and developing a scalable, automated architecture, you will empower our product, marketing, and editorial teams. Your role is to ensure that as we move toward an AI-driven future, our data is a strategic asset. Responsibilities Architectural Integrity: Design and maintain a robust, scalable tracking architecture across all BMJ platforms, moving beyond standard implementations to create bespoke, high-value data layers. Data Governance: Act as the guardian of our digital analytics data, ensuring our metrics are audited, accurate, and fully compliant with industry governance and privacy standards Empowering Insight: Lead BMJ's move towards data self-service. You won't just build dashboards; you will establish the standards, documentation, and training that allow our teams to interrogate data with confidence. Technical Problem Solving: Serve as the final point of escalation for complex tracking challenges, resolving issues related to attribution, browser-led privacy restrictions, and identity management. Skills, Experience & Qualifications Measurement Architecture: Expert-level command of GA4 and GTM. You must have proven experience deploying server-side tagging. Technical Implementation: Proficiency in JavaScript, HTML, and CSS to engineer bespoke tracking solutions and maintain trusted data layers. Governance & Privacy: A deep understanding of GDPR, PECR, and cookie consent frameworks, with the ability to ensure compliance across all tracking implementations. Stakeholder Partnering: The ability to distil complex technical logic into clear narratives, aligning data capabilities with commercial and editorial objectives. Problem Solving: The ability to engineer creative solutions for journey mapping and to identify root causes of complex data issues. Data Engineering & Cloud: Experience leveraging GCP and BigQuery to architect data pipelines, ensuring digital analytics are integrated into BMJ s wider data estate. Business Intelligence: The ability to transform complex datasets into strategic assets using Tableau, building scalable reporting frameworks for evidence-based decision-making. Educational Background: A degree in a technical or analytical discipline (e.g., Computer Science, Information Systems, or Data Analytics) or equivalent professional experience in a high-scale digital environment. Why work for us Help us create a healthier world. We are a global healthcare knowledge provider. We publish The BMJ, one of the world s most impactful medical journals and over 70 influential speciality journals. We offer digital tools to help health professionals worldwide tackle critical healthcare challenges. Find out more about us here . Flexible Work and Workplace Perks We re committed to flexible working that supports both your needs and the requirements of the role. Generous benefits Generous double-matching employer pension contribution, up to 12% Discounted dental and travel insurance Seven x salary life assurance cover and a generous income protection package Discounted gym membership, cycle-to-work and season ticket loan Discounts for retail and leisure products through yourReward Work-life balance and wellbeing Twenty-five days holiday + bank holidays + a BMJ Day off. Additional holiday through long service; buy up to 5 additional days Leave for moving house, volunteering or getting married Concierge service Seniorcare by Lottie Equity, Diversity and Inclusion Equity, Diversity and Inclusion are not buzzwords to us, but fundamental company priorities We believe that a diverse workforce brings unique strengths and insights, enabling us to better serve our customers and drive positive change in our industry. If you are from an under-represented or historically marginalised community, we are particularly interested in hearing from you. Join our employee-led networks focusing on Gender, Race and Cultural Diversity, Sexual Orientation, Mental Health and Well-being, Parents and Carers and Age. Disability Confident Committed employer Learning & Development Personal development plan Mentoring scheme Career Coaching Opportunities to pursue professional development Strengths-based development
Mar 25, 2026
Full time
Job title: Lead Digital Analyst Contract: Permanent Salary: £56,626 - £62,919 DOE Location: London - Hybrid Application closing date: Friday 20th March 2026 Job Purpose BMJ is a global healthcare knowledge provider. To support our vision for a healthier world, our digital infrastructure must be engineered for precision. We are recruiting a Lead Digital Analyst to serve as the architect of our digital measurement frameworks. This is a position of strategic authority, not a traditional tagging role. You will bridge the gap between technical engineering and stakeholder insight, ensuring our data foundations are trusted, privacy-centric, and robust. As a senior member of BMJ s Data function, you will own the integrity of our digital analytics infrastructure and provide end-to-end technical oversight across our platforms. By minimising technical debt and developing a scalable, automated architecture, you will empower our product, marketing, and editorial teams. Your role is to ensure that as we move toward an AI-driven future, our data is a strategic asset. Responsibilities Architectural Integrity: Design and maintain a robust, scalable tracking architecture across all BMJ platforms, moving beyond standard implementations to create bespoke, high-value data layers. Data Governance: Act as the guardian of our digital analytics data, ensuring our metrics are audited, accurate, and fully compliant with industry governance and privacy standards Empowering Insight: Lead BMJ's move towards data self-service. You won't just build dashboards; you will establish the standards, documentation, and training that allow our teams to interrogate data with confidence. Technical Problem Solving: Serve as the final point of escalation for complex tracking challenges, resolving issues related to attribution, browser-led privacy restrictions, and identity management. Skills, Experience & Qualifications Measurement Architecture: Expert-level command of GA4 and GTM. You must have proven experience deploying server-side tagging. Technical Implementation: Proficiency in JavaScript, HTML, and CSS to engineer bespoke tracking solutions and maintain trusted data layers. Governance & Privacy: A deep understanding of GDPR, PECR, and cookie consent frameworks, with the ability to ensure compliance across all tracking implementations. Stakeholder Partnering: The ability to distil complex technical logic into clear narratives, aligning data capabilities with commercial and editorial objectives. Problem Solving: The ability to engineer creative solutions for journey mapping and to identify root causes of complex data issues. Data Engineering & Cloud: Experience leveraging GCP and BigQuery to architect data pipelines, ensuring digital analytics are integrated into BMJ s wider data estate. Business Intelligence: The ability to transform complex datasets into strategic assets using Tableau, building scalable reporting frameworks for evidence-based decision-making. Educational Background: A degree in a technical or analytical discipline (e.g., Computer Science, Information Systems, or Data Analytics) or equivalent professional experience in a high-scale digital environment. Why work for us Help us create a healthier world. We are a global healthcare knowledge provider. We publish The BMJ, one of the world s most impactful medical journals and over 70 influential speciality journals. We offer digital tools to help health professionals worldwide tackle critical healthcare challenges. Find out more about us here . Flexible Work and Workplace Perks We re committed to flexible working that supports both your needs and the requirements of the role. Generous benefits Generous double-matching employer pension contribution, up to 12% Discounted dental and travel insurance Seven x salary life assurance cover and a generous income protection package Discounted gym membership, cycle-to-work and season ticket loan Discounts for retail and leisure products through yourReward Work-life balance and wellbeing Twenty-five days holiday + bank holidays + a BMJ Day off. Additional holiday through long service; buy up to 5 additional days Leave for moving house, volunteering or getting married Concierge service Seniorcare by Lottie Equity, Diversity and Inclusion Equity, Diversity and Inclusion are not buzzwords to us, but fundamental company priorities We believe that a diverse workforce brings unique strengths and insights, enabling us to better serve our customers and drive positive change in our industry. If you are from an under-represented or historically marginalised community, we are particularly interested in hearing from you. Join our employee-led networks focusing on Gender, Race and Cultural Diversity, Sexual Orientation, Mental Health and Well-being, Parents and Carers and Age. Disability Confident Committed employer Learning & Development Personal development plan Mentoring scheme Career Coaching Opportunities to pursue professional development Strengths-based development
Java Engineer • Salary to £45k + Company Options Scheme • Hybrid working between your home, their offices (London Vauxhall) & client sites. NB: Please only apply if you are a UK National and able to achieve SC (ideally DV) clearance i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They're growing fast and looking for bright, dynamic people to help build their business. Role They're looking for a Java Engineer to join their implementation team. You'll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration - helping their public-sector clients build secure, scalable, and resilient digital services. You'll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. You'll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Experience in Java software engineering and object-oriented design Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you are a UK National and able to achieve SC or DV clearance. i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment
Mar 25, 2026
Full time
Java Engineer • Salary to £45k + Company Options Scheme • Hybrid working between your home, their offices (London Vauxhall) & client sites. NB: Please only apply if you are a UK National and able to achieve SC (ideally DV) clearance i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They're growing fast and looking for bright, dynamic people to help build their business. Role They're looking for a Java Engineer to join their implementation team. You'll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration - helping their public-sector clients build secure, scalable, and resilient digital services. You'll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. You'll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Experience in Java software engineering and object-oriented design Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you are a UK National and able to achieve SC or DV clearance. i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Mar 25, 2026
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Lead GCP Data Engineer New Malden (Hybrid, approx. 4 days per month onsite) £85,000 to £90,000 plus up to 30 percent bonus This is an opportunity to take ownership of a brand-new GCP data platform and shape the engineering standards from the ground up. You will join a growing data function at a pivotal moment, playing a key role in a major cloud migration while influencing best practice across the team. The Company They are a technology-driven organisation within the insurance space, focused on making data-led decisions and building modern, scalable systems. Their mission is centred around delivering fast, accurate and accessible insurance experiences for a wide range of customers. With strong investment and a clear roadmap, they continue to enhance their predictive capabilities and data platform maturity. The environment is collaborative, outcome-focused and built for people who enjoy autonomy and ownership. The Role As Lead GCP Data Engineer, you will Act as the in-house GCP expert, guiding design decisions and engineering standards. Lead end-to-end delivery of data products, from ingestion through to transformation and analytical layers. Build and maintain production-grade pipelines across batch and streaming workloads. Work closely with internal stakeholders to deliver reliable, high-quality datasets. Support the Azure-to-GCP migration, ensuring data sources are correctly transformed and integrated. Mentor engineers and help uplift best practice across the team. Operate within Agile ways of working, contributing to planning, ceremonies and continuous improvement. Your Skills and Experience You will need: Strong commercial experience as a Data Engineer working on production-grade pipelines. Deep hands-on experience with GCP, including BigQuery, Cloud Storage, Cloud Run, Dataflow, Cloud Composer, and streaming technologies such as Kafka. Strong capability in dbt or Dataform and familiarity with medallion architecture. Ability to design robust ingestion patterns across multiple data types. Experience with Terraform or similar IaC approaches. Clear communication skills and a value-focused engineering mindset. Experience operating within Agile teams. Nice to have: GCP certifications. Experience working in regulated environments. What They Offer £80,000 to £90,000 base salary. Up to 30 percent annual bonus. Hybrid working with only four days per month onsite. Strong pipeline of projects including a cloud migration and new platform build. Clear progression opportunities as the team scales. A positive, supportive culture with an emphasis on trust and autonomy. How to Apply If this sounds like the right next step, apply now to register your interest.
Mar 24, 2026
Full time
Lead GCP Data Engineer New Malden (Hybrid, approx. 4 days per month onsite) £85,000 to £90,000 plus up to 30 percent bonus This is an opportunity to take ownership of a brand-new GCP data platform and shape the engineering standards from the ground up. You will join a growing data function at a pivotal moment, playing a key role in a major cloud migration while influencing best practice across the team. The Company They are a technology-driven organisation within the insurance space, focused on making data-led decisions and building modern, scalable systems. Their mission is centred around delivering fast, accurate and accessible insurance experiences for a wide range of customers. With strong investment and a clear roadmap, they continue to enhance their predictive capabilities and data platform maturity. The environment is collaborative, outcome-focused and built for people who enjoy autonomy and ownership. The Role As Lead GCP Data Engineer, you will Act as the in-house GCP expert, guiding design decisions and engineering standards. Lead end-to-end delivery of data products, from ingestion through to transformation and analytical layers. Build and maintain production-grade pipelines across batch and streaming workloads. Work closely with internal stakeholders to deliver reliable, high-quality datasets. Support the Azure-to-GCP migration, ensuring data sources are correctly transformed and integrated. Mentor engineers and help uplift best practice across the team. Operate within Agile ways of working, contributing to planning, ceremonies and continuous improvement. Your Skills and Experience You will need: Strong commercial experience as a Data Engineer working on production-grade pipelines. Deep hands-on experience with GCP, including BigQuery, Cloud Storage, Cloud Run, Dataflow, Cloud Composer, and streaming technologies such as Kafka. Strong capability in dbt or Dataform and familiarity with medallion architecture. Ability to design robust ingestion patterns across multiple data types. Experience with Terraform or similar IaC approaches. Clear communication skills and a value-focused engineering mindset. Experience operating within Agile teams. Nice to have: GCP certifications. Experience working in regulated environments. What They Offer £80,000 to £90,000 base salary. Up to 30 percent annual bonus. Hybrid working with only four days per month onsite. Strong pipeline of projects including a cloud migration and new platform build. Clear progression opportunities as the team scales. A positive, supportive culture with an emphasis on trust and autonomy. How to Apply If this sounds like the right next step, apply now to register your interest.
Backend Engineer (Python, FastAPI/Flask/DjangoGPU/CUDA) Bristol (Hybrid) £55,000 - £70,000 + Benefits PermanentThe OpportunityAn innovative analytics organisation operating within the insurance and risk sector is looking for a Backend Engineer to join their growing technology team in Bristol.This company builds advanced underwriting and risk modelling platforms that combine modern software engineering, cloud infrastructure, and high-performance computing. You'll join a collaborative, highly skilled team of engineers and data scientists working on systems that directly influence real-world underwriting and portfolio decisions.This is an excellent opportunity for someone with strong Python backend experience who is excited by data-intensive systems, cloud-native architecture, and performance-driven engineering.The RoleAs a Backend Engineer, you will play a key role in developing and scaling backend services that power a next-generation risk modelling platform.You'll work closely with engineers and risk scientists to support GPU-accelerated modelling pipelines, design robust APIs, and ensure systems are reliable, performant, and production-ready.Key ResponsibilitiesDevelop and maintain backend services in Python using modern frameworks (e.g. FastAPI)Design and implement REST APIs for internal platforms and third-party integrationsCollaborate with scientists to support a GPU-accelerated risk modelling engineOptimise backend services for scalability, performance, and reliabilityIntegrate with underwriting, analytics, and portfolio systemsSupport cloud-native deployments (GCP environment)Write clean, well-tested, well-documented code following best engineering practicesWork in a cross-functional team alongside engineers, data scientists, and domain specialistsAbout YouEssential:3-5 years' professional backend engineering experience with PythonStrong experience with FastAPI (or similar modern Python frameworks)Experience with relational databases (e.g. PostgreSQL) and ORMs such as SQLAlchemyExperience working in cloud environments (GCP preferred)Solid understanding of testing, CI/CD, Git workflows, and clean code principlesStrong communication skills and a collaborative mindsetDegree in Computer Science or related technical disciplineDesirable:Exposure to GPU computing or acceleration frameworks (e.g. CUDA, CuPy, Numba)Experience with Terraform or infrastructure-as-code toolingFamiliarity with Kubernetes or other cloud orchestration platformsInterest in high-performance or numerical computingExperience within insurance, finance, or analytics-driven environmentsWhy Apply?Work on technically challenging, real-world modelling systemsCollaborate with highly skilled engineers and scientistsExposure to GPU acceleration and performance engineeringCompetitive salary (£55k-£70k)Hybrid working model (Bristol-based team)Opportunity to influence and shape a growing platformIf you're a Python backend engineer looking to work on complex, high-impact systems in a collaborative and forward-thinking environment, we'd love to hear from you.
Mar 24, 2026
Full time
Backend Engineer (Python, FastAPI/Flask/DjangoGPU/CUDA) Bristol (Hybrid) £55,000 - £70,000 + Benefits PermanentThe OpportunityAn innovative analytics organisation operating within the insurance and risk sector is looking for a Backend Engineer to join their growing technology team in Bristol.This company builds advanced underwriting and risk modelling platforms that combine modern software engineering, cloud infrastructure, and high-performance computing. You'll join a collaborative, highly skilled team of engineers and data scientists working on systems that directly influence real-world underwriting and portfolio decisions.This is an excellent opportunity for someone with strong Python backend experience who is excited by data-intensive systems, cloud-native architecture, and performance-driven engineering.The RoleAs a Backend Engineer, you will play a key role in developing and scaling backend services that power a next-generation risk modelling platform.You'll work closely with engineers and risk scientists to support GPU-accelerated modelling pipelines, design robust APIs, and ensure systems are reliable, performant, and production-ready.Key ResponsibilitiesDevelop and maintain backend services in Python using modern frameworks (e.g. FastAPI)Design and implement REST APIs for internal platforms and third-party integrationsCollaborate with scientists to support a GPU-accelerated risk modelling engineOptimise backend services for scalability, performance, and reliabilityIntegrate with underwriting, analytics, and portfolio systemsSupport cloud-native deployments (GCP environment)Write clean, well-tested, well-documented code following best engineering practicesWork in a cross-functional team alongside engineers, data scientists, and domain specialistsAbout YouEssential:3-5 years' professional backend engineering experience with PythonStrong experience with FastAPI (or similar modern Python frameworks)Experience with relational databases (e.g. PostgreSQL) and ORMs such as SQLAlchemyExperience working in cloud environments (GCP preferred)Solid understanding of testing, CI/CD, Git workflows, and clean code principlesStrong communication skills and a collaborative mindsetDegree in Computer Science or related technical disciplineDesirable:Exposure to GPU computing or acceleration frameworks (e.g. CUDA, CuPy, Numba)Experience with Terraform or infrastructure-as-code toolingFamiliarity with Kubernetes or other cloud orchestration platformsInterest in high-performance or numerical computingExperience within insurance, finance, or analytics-driven environmentsWhy Apply?Work on technically challenging, real-world modelling systemsCollaborate with highly skilled engineers and scientistsExposure to GPU acceleration and performance engineeringCompetitive salary (£55k-£70k)Hybrid working model (Bristol-based team)Opportunity to influence and shape a growing platformIf you're a Python backend engineer looking to work on complex, high-impact systems in a collaborative and forward-thinking environment, we'd love to hear from you.
Senior Core Java Engineer - Low-Latency Trading Salary: Up to £125,000 + bonus + benefits Location: City of London (3 days onsite) Build ultra-low latency systems at the heart of global FX trading! This is an opportunity for a Senior Core Java Engineer to join a leading Asian FX trading firm as they continue to scale their London engineering team. You'll play a key role in designing and optimising high-performance trading systems where speed, precision and reliability are critical. If you enjoy working close to the metal, solving complex performance challenges and operating in a fast-paced financial environment, this is the role for you. What you'll be doing Design, build and optimise low-latency, high-throughput Core Java trading systems Own and drive performance improvements across critical components Contribute to the architecture and evolution of a world-class FX trading platform processing billions of messages per day Mentor engineers and promote best practices around testing, code quality and performance Operate within modern engineering practices including CI/CD, TDD, and Agile Tech Environment Core Java (no frameworks), multithreading, concurrency, low-latency optimisation, AWS/GCP, Docker, Kubernetes, CI/CD, TDD, Agile. ? What they're looking for Strong commercial experience in Core Java development (framework-light / no Spring environments preferred) Deep understanding of multithreading and concurrency Experience building or optimising low-latency or high-performance systems Background working in high-throughput, distributed environments Comfortable working in cloud-based infrastructure (AWS or GCP) Strong engineering fundamentals and a senior-level mindset (ownership, mentoring, architectural input) Interest in financial markets or trading systems (experience in finance is a plus, not essential) ? Why join? Work on systems where milliseconds matter High-impact role with real ownership and technical influence Join a growing London team within a globally established trading firm Competitive compensation with strong bonus potential Interested? Apply now or get in touch for a confidential conversation.
Mar 24, 2026
Full time
Senior Core Java Engineer - Low-Latency Trading Salary: Up to £125,000 + bonus + benefits Location: City of London (3 days onsite) Build ultra-low latency systems at the heart of global FX trading! This is an opportunity for a Senior Core Java Engineer to join a leading Asian FX trading firm as they continue to scale their London engineering team. You'll play a key role in designing and optimising high-performance trading systems where speed, precision and reliability are critical. If you enjoy working close to the metal, solving complex performance challenges and operating in a fast-paced financial environment, this is the role for you. What you'll be doing Design, build and optimise low-latency, high-throughput Core Java trading systems Own and drive performance improvements across critical components Contribute to the architecture and evolution of a world-class FX trading platform processing billions of messages per day Mentor engineers and promote best practices around testing, code quality and performance Operate within modern engineering practices including CI/CD, TDD, and Agile Tech Environment Core Java (no frameworks), multithreading, concurrency, low-latency optimisation, AWS/GCP, Docker, Kubernetes, CI/CD, TDD, Agile. ? What they're looking for Strong commercial experience in Core Java development (framework-light / no Spring environments preferred) Deep understanding of multithreading and concurrency Experience building or optimising low-latency or high-performance systems Background working in high-throughput, distributed environments Comfortable working in cloud-based infrastructure (AWS or GCP) Strong engineering fundamentals and a senior-level mindset (ownership, mentoring, architectural input) Interest in financial markets or trading systems (experience in finance is a plus, not essential) ? Why join? Work on systems where milliseconds matter High-impact role with real ownership and technical influence Join a growing London team within a globally established trading firm Competitive compensation with strong bonus potential Interested? Apply now or get in touch for a confidential conversation.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Quantum Software Engineer to develop cutting edge applications and algorithms for next generation quantum computers. In this role, you will design, implement, and optimise quantum algorithms across domains such as simulation, optimisation, sensing enhanced workflows, and hybrid quantum classical computation. You will work closely with hardware, control, and research teams to translate theoretical advances into performant, executable workloads, leveraging modern quantum SDKs, compiler toolchains, and resource estimation frameworks. The ideal candidate combines strong foundations in quantum algorithms and computational mathematics with practical software engineering expertise, enabling them to build scalable, testable, and high impact quantum applications that push the boundaries of near term and fault tolerant quantum systems. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Conduct R&D toward cutting edge advances in quantum technology with a focus on quantum applications and algorithms Deploy software optimisations to our cloud platform Superstaq using industry grade software engineering procedures including documentation, linting, testing, and type checking Interface with customers of Superstaq to understand their needs and support them in a timely fashion Contribute to development of government and commercial proposals and execution on global programmes Collaborate with experimental physicists and software engineers to bridge the gap between theoretical concepts and practical implementation Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences Stay up to date with the latest developments in quantum computer architecture, quantum compilation and related fields Provide guidance and support to other team members, fostering a collaborative research environment QUALIFICATIONS Master's degree in quantum applications, mathematics, engineering, physics or a directly related field. Must High proficiency in programming, with fluency in Python preferable. Experience with open source quantum software frameworks such as Cirq or Qiskit; Demonstrated ability to work and communicate with all levels of an organisation; Professional level communication skills, including verbal, written, and presentation skills Demonstrated ability to work comfortably in a highly collaborative, cross functional, team oriented, and matrixed environment Desire and demonstrated ability to thrive and produce results in a fluid, dynamic, and fast paced environment Demonstrated ability to learn new and complex topics quickly Resourceful problem solver who collaboratively identifies effective paths forward with demonstrated expertise in executing productisation efforts Passion for solving complex problems and challenges in a highly technical and scientific environment Desirable Skills or Knowledge PhD in quantum computation, physics, computer science, or a directly related field Familiarity with concepts in quantum computing such as error correction / fault tolerance, native gate decomposition, qubit mapping and routing, and variational quantum algorithms Experience with material science applications of quantum computers Familiarity with best practices of professional software engineering such as coverage, integration tests, type checking, unit tests, and version control Experience with backend development with tools such as FastAPI for web frameworks and PostgreSQL/SQLAlchemy for databases Experience with cloud development, especially on GCP and AWS Familiarity with CI/CD, automated actions, issue tracking, version control, and other features on GitHub Familiarity with security core best practices such as access control, encryption at rest, key rotation, and logging Exposure to or interest in front end / GUI development, e.g., HTML/CSS, React, PyQt. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. COMPENSATION & BENEFITS In addition to your base compensation, we offer a generous Total Rewards programme which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Mar 23, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Quantum Software Engineer to develop cutting edge applications and algorithms for next generation quantum computers. In this role, you will design, implement, and optimise quantum algorithms across domains such as simulation, optimisation, sensing enhanced workflows, and hybrid quantum classical computation. You will work closely with hardware, control, and research teams to translate theoretical advances into performant, executable workloads, leveraging modern quantum SDKs, compiler toolchains, and resource estimation frameworks. The ideal candidate combines strong foundations in quantum algorithms and computational mathematics with practical software engineering expertise, enabling them to build scalable, testable, and high impact quantum applications that push the boundaries of near term and fault tolerant quantum systems. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Conduct R&D toward cutting edge advances in quantum technology with a focus on quantum applications and algorithms Deploy software optimisations to our cloud platform Superstaq using industry grade software engineering procedures including documentation, linting, testing, and type checking Interface with customers of Superstaq to understand their needs and support them in a timely fashion Contribute to development of government and commercial proposals and execution on global programmes Collaborate with experimental physicists and software engineers to bridge the gap between theoretical concepts and practical implementation Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences Stay up to date with the latest developments in quantum computer architecture, quantum compilation and related fields Provide guidance and support to other team members, fostering a collaborative research environment QUALIFICATIONS Master's degree in quantum applications, mathematics, engineering, physics or a directly related field. Must High proficiency in programming, with fluency in Python preferable. Experience with open source quantum software frameworks such as Cirq or Qiskit; Demonstrated ability to work and communicate with all levels of an organisation; Professional level communication skills, including verbal, written, and presentation skills Demonstrated ability to work comfortably in a highly collaborative, cross functional, team oriented, and matrixed environment Desire and demonstrated ability to thrive and produce results in a fluid, dynamic, and fast paced environment Demonstrated ability to learn new and complex topics quickly Resourceful problem solver who collaboratively identifies effective paths forward with demonstrated expertise in executing productisation efforts Passion for solving complex problems and challenges in a highly technical and scientific environment Desirable Skills or Knowledge PhD in quantum computation, physics, computer science, or a directly related field Familiarity with concepts in quantum computing such as error correction / fault tolerance, native gate decomposition, qubit mapping and routing, and variational quantum algorithms Experience with material science applications of quantum computers Familiarity with best practices of professional software engineering such as coverage, integration tests, type checking, unit tests, and version control Experience with backend development with tools such as FastAPI for web frameworks and PostgreSQL/SQLAlchemy for databases Experience with cloud development, especially on GCP and AWS Familiarity with CI/CD, automated actions, issue tracking, version control, and other features on GitHub Familiarity with security core best practices such as access control, encryption at rest, key rotation, and logging Exposure to or interest in front end / GUI development, e.g., HTML/CSS, React, PyQt. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. COMPENSATION & BENEFITS In addition to your base compensation, we offer a generous Total Rewards programme which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
Mar 23, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Mar 22, 2026
Full time
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Mar 22, 2026
Full time
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Senior Full Stack Engineer - House ChannelOps Posted: 08/03/2026 Location The senior Full Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a Full Stack Engineer who is comfortable operating at the intersection of a product that drives customers' financial spend in the cloud and allows them to succeed in configuring, visualising and operating their business FinOps needs. This role facilitates the creation of interfaces and back end infrastructure that remove friction and allow ease of such configurations. We want to delight customers in how easy it is to set up, operate and observe the flow of financial cloud spend data. The role will help us evolve our DoiT Cloud Intelligence (DCI) product. You'll work with the Billing and Partner team to collaborate on design, build prototypes, deliver scalable back end services and great UI/UX experiences and think how to present data in the clearest way. Beyond this, you'll communicate with technical leaders on best practices and set the highest standard and diligence in full stack engineering. This is a key role as we grow. DoiT Cloud Intelligence for ChannelOps is a data driven, unified system that offers provisioning, billing and invoicing, reporting, automation and partner enablement, connecting operations to revenue and compliance. It powers resellers, distributors, and enterprises to effectively manage, sell, and optimise multi cloud channels. Responsibilities Design, build, and scale back end services in Golang and UI/UX experiences in React to configure, operate and delight customers on the journey of their FinOps data success Work closely with the Billing and Partner team on delivering solutions that are modern, scale and run efficiently. Learn and understand the domain in which the work happens and what the product is truly about. Be able to adapt fast in a market where we are the leaders Contribute to discussions and groups of your peers at DoiT that focus on the front end and learn continuously about how the different parts of the product work together and are evolving Think carefully about guard rails for customers interacting with the product, allowing them to succeed Drive best practices and industry standards forward Qualifications 7+ years of experience as a full stack engineer, with exposure to SaaS products that are used by many customers Strong programming skills in Golang and React ideal An understanding of cloud infrastructure is beneficial (AWS and GCP preferred). Comfortable collaborating across product and engineering teams. Excellent communication skills in English, both written and verbal. Self motivated, adaptable, and effective in a fast moving environment. A great sense of humour and enjoys having fun at work Bonus Points Knowledge of FinOps and FinOps products would be a strong plus. BA/BS degree or equivalent practical experience. Demonstrating a portfolio of what you've built in your career so far Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values . We thought so too, but we're here and happy we hit that 'apply' button. Unlimited PTO Flexible Working Options Health Insurance Employee Stock Option Plan Professional Development Stipend DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. DoiT Cloud Intelligence helps you look beyond surface level metrics like high CPU, IOPS, or GPU utilisation to uncover the hidden inefficiencies in your cloud workloads.
Mar 21, 2026
Full time
Senior Full Stack Engineer - House ChannelOps Posted: 08/03/2026 Location The senior Full Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a Full Stack Engineer who is comfortable operating at the intersection of a product that drives customers' financial spend in the cloud and allows them to succeed in configuring, visualising and operating their business FinOps needs. This role facilitates the creation of interfaces and back end infrastructure that remove friction and allow ease of such configurations. We want to delight customers in how easy it is to set up, operate and observe the flow of financial cloud spend data. The role will help us evolve our DoiT Cloud Intelligence (DCI) product. You'll work with the Billing and Partner team to collaborate on design, build prototypes, deliver scalable back end services and great UI/UX experiences and think how to present data in the clearest way. Beyond this, you'll communicate with technical leaders on best practices and set the highest standard and diligence in full stack engineering. This is a key role as we grow. DoiT Cloud Intelligence for ChannelOps is a data driven, unified system that offers provisioning, billing and invoicing, reporting, automation and partner enablement, connecting operations to revenue and compliance. It powers resellers, distributors, and enterprises to effectively manage, sell, and optimise multi cloud channels. Responsibilities Design, build, and scale back end services in Golang and UI/UX experiences in React to configure, operate and delight customers on the journey of their FinOps data success Work closely with the Billing and Partner team on delivering solutions that are modern, scale and run efficiently. Learn and understand the domain in which the work happens and what the product is truly about. Be able to adapt fast in a market where we are the leaders Contribute to discussions and groups of your peers at DoiT that focus on the front end and learn continuously about how the different parts of the product work together and are evolving Think carefully about guard rails for customers interacting with the product, allowing them to succeed Drive best practices and industry standards forward Qualifications 7+ years of experience as a full stack engineer, with exposure to SaaS products that are used by many customers Strong programming skills in Golang and React ideal An understanding of cloud infrastructure is beneficial (AWS and GCP preferred). Comfortable collaborating across product and engineering teams. Excellent communication skills in English, both written and verbal. Self motivated, adaptable, and effective in a fast moving environment. A great sense of humour and enjoys having fun at work Bonus Points Knowledge of FinOps and FinOps products would be a strong plus. BA/BS degree or equivalent practical experience. Demonstrating a portfolio of what you've built in your career so far Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values . We thought so too, but we're here and happy we hit that 'apply' button. Unlimited PTO Flexible Working Options Health Insurance Employee Stock Option Plan Professional Development Stipend DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. DoiT Cloud Intelligence helps you look beyond surface level metrics like high CPU, IOPS, or GPU utilisation to uncover the hidden inefficiencies in your cloud workloads.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Mar 20, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Senior Forward Deployed Engineer (Palantir Foundry) London Salary Up To £120,000 per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK s most respected Palantir partners, now seeking a Senior Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You ll be joining a company that delivers transformative solutions across public and private sectors specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects. Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy. Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance ensuring robust and future-proof solutions. Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation. Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts. Innovation & Vision: Help define the consultancy s technical roadmap, aligning emerging technology with client needs and long-term growth. Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit. Thought Leadership: Represent the organisation externally whether through industry events, publications, or strategic client discussions. What We re Looking For Deep Experience: 10+ years in engineering, data platforms, or enterprise technology at least 3 5 of which in leadership roles managing large-scale, client-facing programmes. Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able to engage at all levels from senior engineers to board-level stakeholders with clarity and confidence. Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes. Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts. Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Senior Forward Deployed Engineer , you won t just deliver projects you ll shape them from inception to execution, influencing how some of the UK s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!
Mar 20, 2026
Full time
Senior Forward Deployed Engineer (Palantir Foundry) London Salary Up To £120,000 per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK s most respected Palantir partners, now seeking a Senior Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You ll be joining a company that delivers transformative solutions across public and private sectors specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects. Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy. Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance ensuring robust and future-proof solutions. Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation. Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts. Innovation & Vision: Help define the consultancy s technical roadmap, aligning emerging technology with client needs and long-term growth. Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit. Thought Leadership: Represent the organisation externally whether through industry events, publications, or strategic client discussions. What We re Looking For Deep Experience: 10+ years in engineering, data platforms, or enterprise technology at least 3 5 of which in leadership roles managing large-scale, client-facing programmes. Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able to engage at all levels from senior engineers to board-level stakeholders with clarity and confidence. Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes. Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts. Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Senior Forward Deployed Engineer , you won t just deliver projects you ll shape them from inception to execution, influencing how some of the UK s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!
About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast paced, and you'll be expected to own problems end to end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do Implement and maintain security controls across multi cloud environments (primarily AWS and Azure, with some GCP and AliCloud) and on prem infrastructure Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical Design and operate key management and custody security cont Implement risk monitoring tools that provide actionable insights across the organization Conduct security reviews of cloud architecture and microservices Collaborate closely with product, technology, and risk teams to align on security strategy Develop and maintain security automation pipelines to streamline security tasks Continuously evaluate and evolve our security posture in a rapidly changing environment Please mention the word FEARLESS and tag RMjYwMDoxOTAwOjA6MmQwOTo6MTQwMA when applying to show you read the job post completely ( ). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job Tags security design technical cloud strategy management senior engineer engineering digital nomad
Mar 20, 2026
Full time
About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast paced, and you'll be expected to own problems end to end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do Implement and maintain security controls across multi cloud environments (primarily AWS and Azure, with some GCP and AliCloud) and on prem infrastructure Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical Design and operate key management and custody security cont Implement risk monitoring tools that provide actionable insights across the organization Conduct security reviews of cloud architecture and microservices Collaborate closely with product, technology, and risk teams to align on security strategy Develop and maintain security automation pipelines to streamline security tasks Continuously evaluate and evolve our security posture in a rapidly changing environment Please mention the word FEARLESS and tag RMjYwMDoxOTAwOjA6MmQwOTo6MTQwMA when applying to show you read the job post completely ( ). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job Tags security design technical cloud strategy management senior engineer engineering digital nomad
Overview Role: Planning Lead Duration: 6 Months Location: Hybrid London - 1 to 2 days Rate: £112.83 per hour. We have a 6-month project for a Planning Lead who will be responsible for ensuring operational oversight and effective execution of the overall planning function for a complex migration programme. This includes engaging with Business Relationship Managers, creating Move Packages, aligning to squads, and ensuring quality gate criteria are met prior to handover. Additional duties will include managing scheduling issues, risks and critical periods and providing an escalation point for any related concerns. Responsibilities Ensure that the Bundling Criteria decision tree is maintained and approved by the Architecture Review Board Ensure that the Programme Change Advisory Board (PCAB) is Chaired and ensure that the deferral process is followed and under continuous improvement. Ensure critical issues or risks raised at the PCAB are escalated Lead end to end planning for multicloud programs spanning Azure, AWS, GCP, and private cloud environments. Drive cloud migration planning including discovery, workload assessment, sequencing, and cutover strategy. Track project KPIs such as provisioning timelines, migration velocity, cloud cost consumption, and operational readiness. Manage cross functional dependencies across network, security, application, and data teams to ensure smooth execution. Drive sprint planning, backlog prioritization, and release planning in Agile/Hybrid delivery models. Partner with PMO to maintain program documentation, RAID logs, status reports, and governance artifacts. Identify optimization opportunities across deployments to enhance cost efficiency, performance, and delivery cadence. Provide oversight of planned migration event dates Provide escalation point for any scheduling issues, risks or critical periods Record issues or risks and assign them to relevant programme or client resources Receive migration candidates, analyse them, and assign migration type Identify any known technical or operational issues that prevent server(s) and system(s) from being grouped and scheduled with the SA Recommend provisional migration event bundles of servers to enable schedulers to manage workload with Squads. Assign servers to Squads and release servers to Schedulers Preferred Skills Experience working in finance or banking industry. Experience working on a complex storage migration programme. Proficient Microsoft Office - Excel (VS) Regular Management Information reporting
Mar 20, 2026
Full time
Overview Role: Planning Lead Duration: 6 Months Location: Hybrid London - 1 to 2 days Rate: £112.83 per hour. We have a 6-month project for a Planning Lead who will be responsible for ensuring operational oversight and effective execution of the overall planning function for a complex migration programme. This includes engaging with Business Relationship Managers, creating Move Packages, aligning to squads, and ensuring quality gate criteria are met prior to handover. Additional duties will include managing scheduling issues, risks and critical periods and providing an escalation point for any related concerns. Responsibilities Ensure that the Bundling Criteria decision tree is maintained and approved by the Architecture Review Board Ensure that the Programme Change Advisory Board (PCAB) is Chaired and ensure that the deferral process is followed and under continuous improvement. Ensure critical issues or risks raised at the PCAB are escalated Lead end to end planning for multicloud programs spanning Azure, AWS, GCP, and private cloud environments. Drive cloud migration planning including discovery, workload assessment, sequencing, and cutover strategy. Track project KPIs such as provisioning timelines, migration velocity, cloud cost consumption, and operational readiness. Manage cross functional dependencies across network, security, application, and data teams to ensure smooth execution. Drive sprint planning, backlog prioritization, and release planning in Agile/Hybrid delivery models. Partner with PMO to maintain program documentation, RAID logs, status reports, and governance artifacts. Identify optimization opportunities across deployments to enhance cost efficiency, performance, and delivery cadence. Provide oversight of planned migration event dates Provide escalation point for any scheduling issues, risks or critical periods Record issues or risks and assign them to relevant programme or client resources Receive migration candidates, analyse them, and assign migration type Identify any known technical or operational issues that prevent server(s) and system(s) from being grouped and scheduled with the SA Recommend provisional migration event bundles of servers to enable schedulers to manage workload with Squads. Assign servers to Squads and release servers to Schedulers Preferred Skills Experience working in finance or banking industry. Experience working on a complex storage migration programme. Proficient Microsoft Office - Excel (VS) Regular Management Information reporting
Forward Deployed Engineer (Palantir Foundry) London Salary Up To £80,000 per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK s most respected Palantir partners, now seeking a Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You ll be joining a company that delivers transformative solutions across public and private sectors specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects. Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy. Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance ensuring robust and future-proof solutions. Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation. Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts. Innovation & Vision: Help define the consultancy s technical roadmap, aligning emerging technology with client needs and long-term growth. Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit. Thought Leadership: Represent the organisation externally whether through industry events, publications, or strategic client discussions. What We re Looking For Deep Experience: 10+ years in engineering, data platforms, or enterprise technology at least 3 5 of which in leadership roles managing large-scale, client-facing programmes. Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able to engage at all levels from senior engineers to board-level stakeholders with clarity and confidence. Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes. Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts. Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Forward Deployed Engineer , you won t just deliver projects you ll shape them from inception to execution, influencing how some of the UK s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!
Mar 19, 2026
Full time
Forward Deployed Engineer (Palantir Foundry) London Salary Up To £80,000 per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK s most respected Palantir partners, now seeking a Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You ll be joining a company that delivers transformative solutions across public and private sectors specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects. Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy. Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance ensuring robust and future-proof solutions. Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation. Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts. Innovation & Vision: Help define the consultancy s technical roadmap, aligning emerging technology with client needs and long-term growth. Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit. Thought Leadership: Represent the organisation externally whether through industry events, publications, or strategic client discussions. What We re Looking For Deep Experience: 10+ years in engineering, data platforms, or enterprise technology at least 3 5 of which in leadership roles managing large-scale, client-facing programmes. Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able to engage at all levels from senior engineers to board-level stakeholders with clarity and confidence. Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes. Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts. Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Forward Deployed Engineer , you won t just deliver projects you ll shape them from inception to execution, influencing how some of the UK s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Mar 18, 2026
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Mar 18, 2026
Full time
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
