Job Overview: We are building a central AI control plane to support the safe, scalable, and efficient use of AI across Arm's engineering teams. This hands-on, technical leadership, platform engineering role will help direct and own delivery of the runtime platforms that make AI services reliable, secure, observable and supportable at Arm scale. You will work across Kubernetes, cloud, identity, secrets, networking, telemetry, incident management and automation to provide the production foundation for Arm's AI platform. Participate in production support and our paid on-call rota for high impact incident response. Production AI runtime platforms: Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components. Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation. Automate provisioning, configuration, upgrades and lifecycle management using infrastructure-as-code and GitOps patterns. Reliability, observability and support: Define and implement service-level indicators, service-level objectives, alerting, dashboards, runbooks and support workflows. Incident response, post-incident review and vendor outage handling for AI services embedded in engineering workflows. Build telemetry that helps Arm understand AI platform health, usage, performance, cost and operational risk. Secure operations by default: Ensure platform components meet production readiness, security and compliance expectations. Help make secure AI usage the default by providing reliable paved paths rather than manual or fragmented infrastructure. Responsibilities: Technical leadership - this role will become a recognised expert and lead engineer on our AI platform's technology stack. Build, operate and continuously improve the production infrastructure for Arm's AI platform services, using both custom and third party solutions. Own reliability, scalability, monitoring, alerting, incident response, runbooks and operational readiness for AI platform components. Develop automation for provisioning, deployment, configuration, backup, recovery, patching, upgrades and lifecycle management. Implement secure runtime patterns, including workload isolation, secrets management, identity integration, network controls and auditability. Contribute towards platform roadmap planning and prioritisation. Required Skills and Experience: Expert level experience deploying and operating production infrastructure or platform services in a Linux-based environment using Kubernetes, containers, cloud or private-cloud platforms, infrastructure-as-code and CI/CD/GitOps tooling. Very strong understanding of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting, and production readiness practices. "Nice To Have" Skills and Experience: Experience operating internal developer platforms, AI platforms, model gateways, MCP infrastructure or other shared engineering platforms. Experience with service mesh, policy-as-code, workload identity, sandboxing, secure runtime environments or multi-tenant platform designs. Experience with regulated or security-sensitive engineering environments. Working knowledge of Open AI tools, products and APIs! In Return: Joining Arm means being part of an elite team that is high-reaching and determined to achieve outstanding results. You will collaborate with industry leaders and innovators, contributing to flawless service builds that improve our global operations. We provide an encouraging and inclusive environment that encourages continuous learning and professional growth. Your success is our success, and together we can build services that compete on the world stage! Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Aug 25, 2026
Full time
Job Overview: We are building a central AI control plane to support the safe, scalable, and efficient use of AI across Arm's engineering teams. This hands-on, technical leadership, platform engineering role will help direct and own delivery of the runtime platforms that make AI services reliable, secure, observable and supportable at Arm scale. You will work across Kubernetes, cloud, identity, secrets, networking, telemetry, incident management and automation to provide the production foundation for Arm's AI platform. Participate in production support and our paid on-call rota for high impact incident response. Production AI runtime platforms: Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components. Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation. Automate provisioning, configuration, upgrades and lifecycle management using infrastructure-as-code and GitOps patterns. Reliability, observability and support: Define and implement service-level indicators, service-level objectives, alerting, dashboards, runbooks and support workflows. Incident response, post-incident review and vendor outage handling for AI services embedded in engineering workflows. Build telemetry that helps Arm understand AI platform health, usage, performance, cost and operational risk. Secure operations by default: Ensure platform components meet production readiness, security and compliance expectations. Help make secure AI usage the default by providing reliable paved paths rather than manual or fragmented infrastructure. Responsibilities: Technical leadership - this role will become a recognised expert and lead engineer on our AI platform's technology stack. Build, operate and continuously improve the production infrastructure for Arm's AI platform services, using both custom and third party solutions. Own reliability, scalability, monitoring, alerting, incident response, runbooks and operational readiness for AI platform components. Develop automation for provisioning, deployment, configuration, backup, recovery, patching, upgrades and lifecycle management. Implement secure runtime patterns, including workload isolation, secrets management, identity integration, network controls and auditability. Contribute towards platform roadmap planning and prioritisation. Required Skills and Experience: Expert level experience deploying and operating production infrastructure or platform services in a Linux-based environment using Kubernetes, containers, cloud or private-cloud platforms, infrastructure-as-code and CI/CD/GitOps tooling. Very strong understanding of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting, and production readiness practices. "Nice To Have" Skills and Experience: Experience operating internal developer platforms, AI platforms, model gateways, MCP infrastructure or other shared engineering platforms. Experience with service mesh, policy-as-code, workload identity, sandboxing, secure runtime environments or multi-tenant platform designs. Experience with regulated or security-sensitive engineering environments. Working knowledge of Open AI tools, products and APIs! In Return: Joining Arm means being part of an elite team that is high-reaching and determined to achieve outstanding results. You will collaborate with industry leaders and innovators, contributing to flawless service builds that improve our global operations. We provide an encouraging and inclusive environment that encourages continuous learning and professional growth. Your success is our success, and together we can build services that compete on the world stage! Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Randstad C&P are working with a national client to onbaord a Building Services Manager based in Richmond, North Yorkshire. The Package Competitive pay rate of £500 per day PAYE Monday to Friday, 40 hours per week, 07:30 - 16:30 Long term 12 months contract The Duties Analyse tender documentation, building services surveys, and utility requirements to identify MEP risks, resource needs, and value-engineering opportunities. Lead building services bid strategy, aligning win strategies, design deliverables, procurement plans, and commissioning approaches with commercial and design teams. Plan, manage, and coordinate MEP design, procurement, installation, testing, and commissioning activities across the full project lifecycle. Maintain building services programmes, proactively mitigating impacts from resequencing, acceleration, or late information while providing clear progress reporting. Support Principal Contractor duties, enforcing mechanical/electrical safe systems of work, live-working controls, and energisation readiness. The Requirements Relevant Degree in Building Services, Mechanical, or Electrical Engineering (or equivalent qualification). Valid CSCS Card and SMSTS. Professional membership or affiliation with CIBSE, IET, or IMechE. Hands-on experience and solid technical understanding of building services commissioning protocols and delivery. Proven track record leading medium-sized or moderately complex projects from pre-construction through to handover. Demonstrated success managing multidisciplinary teams, specialist supply-chain partners, and project controls across various delivery challenges. Strong understanding of M&E design responsibilities, statutory compliance, live energisation safety, and safe systems of work. Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Aug 25, 2026
Full time
Randstad C&P are working with a national client to onbaord a Building Services Manager based in Richmond, North Yorkshire. The Package Competitive pay rate of £500 per day PAYE Monday to Friday, 40 hours per week, 07:30 - 16:30 Long term 12 months contract The Duties Analyse tender documentation, building services surveys, and utility requirements to identify MEP risks, resource needs, and value-engineering opportunities. Lead building services bid strategy, aligning win strategies, design deliverables, procurement plans, and commissioning approaches with commercial and design teams. Plan, manage, and coordinate MEP design, procurement, installation, testing, and commissioning activities across the full project lifecycle. Maintain building services programmes, proactively mitigating impacts from resequencing, acceleration, or late information while providing clear progress reporting. Support Principal Contractor duties, enforcing mechanical/electrical safe systems of work, live-working controls, and energisation readiness. The Requirements Relevant Degree in Building Services, Mechanical, or Electrical Engineering (or equivalent qualification). Valid CSCS Card and SMSTS. Professional membership or affiliation with CIBSE, IET, or IMechE. Hands-on experience and solid technical understanding of building services commissioning protocols and delivery. Proven track record leading medium-sized or moderately complex projects from pre-construction through to handover. Demonstrated success managing multidisciplinary teams, specialist supply-chain partners, and project controls across various delivery challenges. Strong understanding of M&E design responsibilities, statutory compliance, live energisation safety, and safe systems of work. Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
ace has partnered with a prestigious, leading international fund and corporate services organisation to appoint an experiencedData Science Leadwho will provide senior advisoryand technicalguidance across a foundational data programme, at the point where the structural decisions are being made. Our client is midway through asignificant changeagenda:consolidatinga fragmented core administration estate andinvesting seriously in clean data, consistent data processes, and data quality measurement. This is aseniorrole focused on judgementandoutput. You will sit alongside an internal data lead, a small data engineering function and an FP&A team, and your mandate is to make sure they build the right thing - bringing genuine data science fundamentals totheteam,challenging structural decisions before they become expensive, and leaving the organisation more capable than you found it. The successful candidate will be equally comfortable defending a modelling decision to a CTO and teaching a schema fundamental to an FP&A analyst. Responsibilities Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure - with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice across the FP&A and data engineering teams: Modelling discipline, statistical rigour,reproducibilityand documentation standards Review of the team's own output, with structured feedback Define data quality dimensions, KPIs and measurement approach, and advise on how these are instrumented and reported. Assess the analytical readiness of the current data estate and set the sequencing for remediation and cleansing work. Deliver structured education and upskilling - working sessions and written standards - so capability persists beyond the engagement. Advise on the data governance implications of downstream AI and agentic tooling, including client-data segregation, permissible-usecontrolsand auditability. Provide a clear, honest read on where the client genuinely needs sustained data science capability versus where existing capability simply needs tuning. Substantial financial services domain experience - fund administration, corporate or fiduciary services, asset servicing, wealth,bankingor insurance. Candidates must understand the fundamentals of the business, not only the shape of the data. Senior practitioner background, typically 10+ years, with meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack - Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable experience defining data quality frameworks and KPIs in an enterprise setting. Evidenced capability-building experience. A material part of this role is raising the standard of an existing team. Executive presence and credibility with technology leadership and finance stakeholders. Comfortable operating at enterprise, not internet, data scale. Please note that this role is expected to 2or 3days per week,hybrid in London. Start date isideallyimmediate, with the ability to earn up to £1500 a day.
Aug 25, 2026
Full time
ace has partnered with a prestigious, leading international fund and corporate services organisation to appoint an experiencedData Science Leadwho will provide senior advisoryand technicalguidance across a foundational data programme, at the point where the structural decisions are being made. Our client is midway through asignificant changeagenda:consolidatinga fragmented core administration estate andinvesting seriously in clean data, consistent data processes, and data quality measurement. This is aseniorrole focused on judgementandoutput. You will sit alongside an internal data lead, a small data engineering function and an FP&A team, and your mandate is to make sure they build the right thing - bringing genuine data science fundamentals totheteam,challenging structural decisions before they become expensive, and leaving the organisation more capable than you found it. The successful candidate will be equally comfortable defending a modelling decision to a CTO and teaching a schema fundamental to an FP&A analyst. Responsibilities Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure - with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice across the FP&A and data engineering teams: Modelling discipline, statistical rigour,reproducibilityand documentation standards Review of the team's own output, with structured feedback Define data quality dimensions, KPIs and measurement approach, and advise on how these are instrumented and reported. Assess the analytical readiness of the current data estate and set the sequencing for remediation and cleansing work. Deliver structured education and upskilling - working sessions and written standards - so capability persists beyond the engagement. Advise on the data governance implications of downstream AI and agentic tooling, including client-data segregation, permissible-usecontrolsand auditability. Provide a clear, honest read on where the client genuinely needs sustained data science capability versus where existing capability simply needs tuning. Substantial financial services domain experience - fund administration, corporate or fiduciary services, asset servicing, wealth,bankingor insurance. Candidates must understand the fundamentals of the business, not only the shape of the data. Senior practitioner background, typically 10+ years, with meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack - Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable experience defining data quality frameworks and KPIs in an enterprise setting. Evidenced capability-building experience. A material part of this role is raising the standard of an existing team. Executive presence and credibility with technology leadership and finance stakeholders. Comfortable operating at enterprise, not internet, data scale. Please note that this role is expected to 2or 3days per week,hybrid in London. Start date isideallyimmediate, with the ability to earn up to £1500 a day.
Title: Principal Planning Engineer Location: London (hybrid) Salary: up to £95,000 + package An exciting opportunity has arisen for a Principal Planning Engineer to join a high regarded consultancy based in Central London. The Principal Planning Engineer will play a key role in supporting a diverse portfolio of engineering and infrastructure projects, with a particular focus on construction planning and scheduling during the early design and construction stages. This is an opportunity to work alongside experienced engineers, project teams, clients and stakeholders, helping to turn complex project requirements into realistic, well-structured and deliverable programmes. The role As a Principal Construction Planner, you will provide specialist planning expertise across complex engineering and infrastructure projects. You will develop and manage construction programmes, assess sequencing and phasing, review progress and provide clear insight into programme risks, constraints and potential outcomes. You will work closely with multidisciplinary teams and clients, using your technical knowledge and practical delivery experience to support informed decision-making and help projects progress successfully. The role would suit someone who combines strong analytical and planning skills with excellent communication and a collaborative, delivery-focused approach. Duties Developing detailed construction programmes and schedules from first principles, using quantities, productivity and production rates. Applying construction planning expertise across the design, construction and delivery stages of complex infrastructure and engineering projects. Reviewing project progress, maintaining programmes and analysing programme data to forecast time and cost outcomes. Identifying programme risks, constraints and interfaces, and working with project teams to develop practical mitigation strategies. Preparing clear and insightful constructability, programme and progress reports for project teams, clients and stakeholders. Developing phasing and sequencing strategies that support efficient and realistic project delivery. Creating visual planning tools and programme outputs to communicate complex sequencing, interfaces and constraints clearly. Working collaboratively with multidisciplinary teams, contractors, clients and other stakeholders to develop robust delivery strategies. Using Primavera P6 and other planning tools effectively, including programmes with appropriate cost and resource loading. Providing constructive challenge and specialist planning advice to help teams make informed delivery decisions. About you You will have substantial experience in construction planning, scheduling or project controls, ideally gained within complex infrastructure, engineering or major project environments. You will be confident developing programmes from first principles and translating technical and construction information into practical delivery plans. You will also be comfortable working with a range of stakeholders and communicating programme information clearly to both technical and non-technical audiences. Strong experience in construction planning and programme development. A sound understanding of construction sequencing, methodology, phasing and interfaces. Experience working across design and construction stages of complex projects. Strong analytical and problem-solving skills, with the ability to interpret programme and project data. Experience in progress monitoring, forecasting, reporting and programme risk management. Strong working knowledge of Primavera P6 and other planning tools. An understanding of cost and resource loading within project programmes. Excellent communication and stakeholder management skills. A collaborative and pragmatic approach, with the confidence to provide specialist advice and constructive challenge. The ability to work effectively across multidisciplinary teams and manage competing priorities. Offer Starting salary of up to £95,000 per annum dependent on experience Annual bonus 29 days annual leave plus bank holidays Hybrid - (2 days office based, 3 days remote) Healthcare Private medical Life assurance Contributory pension scheme Flexible benefits scheme
Aug 24, 2026
Full time
Title: Principal Planning Engineer Location: London (hybrid) Salary: up to £95,000 + package An exciting opportunity has arisen for a Principal Planning Engineer to join a high regarded consultancy based in Central London. The Principal Planning Engineer will play a key role in supporting a diverse portfolio of engineering and infrastructure projects, with a particular focus on construction planning and scheduling during the early design and construction stages. This is an opportunity to work alongside experienced engineers, project teams, clients and stakeholders, helping to turn complex project requirements into realistic, well-structured and deliverable programmes. The role As a Principal Construction Planner, you will provide specialist planning expertise across complex engineering and infrastructure projects. You will develop and manage construction programmes, assess sequencing and phasing, review progress and provide clear insight into programme risks, constraints and potential outcomes. You will work closely with multidisciplinary teams and clients, using your technical knowledge and practical delivery experience to support informed decision-making and help projects progress successfully. The role would suit someone who combines strong analytical and planning skills with excellent communication and a collaborative, delivery-focused approach. Duties Developing detailed construction programmes and schedules from first principles, using quantities, productivity and production rates. Applying construction planning expertise across the design, construction and delivery stages of complex infrastructure and engineering projects. Reviewing project progress, maintaining programmes and analysing programme data to forecast time and cost outcomes. Identifying programme risks, constraints and interfaces, and working with project teams to develop practical mitigation strategies. Preparing clear and insightful constructability, programme and progress reports for project teams, clients and stakeholders. Developing phasing and sequencing strategies that support efficient and realistic project delivery. Creating visual planning tools and programme outputs to communicate complex sequencing, interfaces and constraints clearly. Working collaboratively with multidisciplinary teams, contractors, clients and other stakeholders to develop robust delivery strategies. Using Primavera P6 and other planning tools effectively, including programmes with appropriate cost and resource loading. Providing constructive challenge and specialist planning advice to help teams make informed delivery decisions. About you You will have substantial experience in construction planning, scheduling or project controls, ideally gained within complex infrastructure, engineering or major project environments. You will be confident developing programmes from first principles and translating technical and construction information into practical delivery plans. You will also be comfortable working with a range of stakeholders and communicating programme information clearly to both technical and non-technical audiences. Strong experience in construction planning and programme development. A sound understanding of construction sequencing, methodology, phasing and interfaces. Experience working across design and construction stages of complex projects. Strong analytical and problem-solving skills, with the ability to interpret programme and project data. Experience in progress monitoring, forecasting, reporting and programme risk management. Strong working knowledge of Primavera P6 and other planning tools. An understanding of cost and resource loading within project programmes. Excellent communication and stakeholder management skills. A collaborative and pragmatic approach, with the confidence to provide specialist advice and constructive challenge. The ability to work effectively across multidisciplinary teams and manage competing priorities. Offer Starting salary of up to £95,000 per annum dependent on experience Annual bonus 29 days annual leave plus bank holidays Hybrid - (2 days office based, 3 days remote) Healthcare Private medical Life assurance Contributory pension scheme Flexible benefits scheme
Project Manager - BMS / BEMS / Smart Buildings Salary and Package Up to £90,000 DOE Pension 25 days holiday PAYE or self-employed options available Long-term project pipeline with further opportunities beyond the current delivery programme Location London Full-time, Permanent Position About the Company This established building controls and smart building specialist is one of the UK's leading independent BEMS businesses, delivering BMS, BEMS, smart building integration and energy management solutions across complex commercial environments. The business has established technical expertise and in-house delivery capability, with a growing focus on connected buildings, intelligent automation and integrated building systems. Why Join Them This is an opportunity to join a growing specialist business operating within an expanding area of the building services sector. The company has a strong pipeline of commercial projects and provides a technically focused environment where project managers work closely with experienced engineering, controls, commissioning and software teams. The successful candidate will have the opportunity to manage complex BMS and BEMS projects from early design and preconstruction through installation, commissioning and handover. There is also scope to work across wider smart building and Master Systems Integration projects as the business continues to develop its capabilities. The role offers long-term project stability, exposure to technically demanding commercial buildings and the opportunity to take responsibility for projects from start to finish. About the Role A Project Manager - BMS / BEMS / Smart Buildings is required to manage the successful delivery of major building controls and intelligent building projects across London. The Project Manager - BMS / BEMS / Smart Buildings will take responsibility for project delivery from preconstruction and design coordination through procurement, installation, commissioning, testing and final handover. The Project Manager - BMS / BEMS / Smart Buildings will work closely with engineers, software specialists, commissioning teams, subcontractors, clients and wider construction teams to ensure projects are delivered safely, on programme and to the required technical standard. The role will involve managing projects incorporating BMS, BEMS, HVAC controls, energy management and wider smart building technologies. Key responsibilities will include: Managing BMS and BEMS projects from preconstruction through to completion Coordinating design, procurement, installation and commissioning activities Managing project programmes, budgets and delivery milestones Working closely with BMS engineers, controls engineers and software teams Coordinating subcontractors and specialist suppliers Managing client relationships and regular project communication Attending site meetings and coordinating activities with principal contractors and other trades Monitoring progress against programme and resolving delivery issues Managing project risks and maintaining appropriate records Overseeing final testing, client witnessing and handover Supporting ongoing technical and operational requirements where required The successful candidate will ideally have: Previous Project Management experience within BMS, BEMS or building controls Strong understanding of BMS and HVAC control systems Previous involvement in commissioning and handover of BMS or BEMS systems Good understanding of project programmes, budgets and contractual requirements Experience coordinating engineers, subcontractors and specialist suppliers Strong client and stakeholder management skills Good understanding of smart buildings, energy management or Master Systems Integration Experience with BMS platforms such as Tridium, Trend, Distech, SAUTER or similar would be advantageous Strong organisational and communication skills A practical understanding of construction and building services environments Summary This is a strong opportunity for an experienced Project Manager - BMS / BEMS / Smart Buildings to join a growing specialist building controls business and take responsibility for technically complex commercial projects across London. With a salary of up to £85,000, long-term project work and exposure to BMS, BEMS and smart building technologies, the role offers a solid opportunity for an experienced project professional looking to progress within the intelligent buildings sector.
Aug 24, 2026
Full time
Project Manager - BMS / BEMS / Smart Buildings Salary and Package Up to £90,000 DOE Pension 25 days holiday PAYE or self-employed options available Long-term project pipeline with further opportunities beyond the current delivery programme Location London Full-time, Permanent Position About the Company This established building controls and smart building specialist is one of the UK's leading independent BEMS businesses, delivering BMS, BEMS, smart building integration and energy management solutions across complex commercial environments. The business has established technical expertise and in-house delivery capability, with a growing focus on connected buildings, intelligent automation and integrated building systems. Why Join Them This is an opportunity to join a growing specialist business operating within an expanding area of the building services sector. The company has a strong pipeline of commercial projects and provides a technically focused environment where project managers work closely with experienced engineering, controls, commissioning and software teams. The successful candidate will have the opportunity to manage complex BMS and BEMS projects from early design and preconstruction through installation, commissioning and handover. There is also scope to work across wider smart building and Master Systems Integration projects as the business continues to develop its capabilities. The role offers long-term project stability, exposure to technically demanding commercial buildings and the opportunity to take responsibility for projects from start to finish. About the Role A Project Manager - BMS / BEMS / Smart Buildings is required to manage the successful delivery of major building controls and intelligent building projects across London. The Project Manager - BMS / BEMS / Smart Buildings will take responsibility for project delivery from preconstruction and design coordination through procurement, installation, commissioning, testing and final handover. The Project Manager - BMS / BEMS / Smart Buildings will work closely with engineers, software specialists, commissioning teams, subcontractors, clients and wider construction teams to ensure projects are delivered safely, on programme and to the required technical standard. The role will involve managing projects incorporating BMS, BEMS, HVAC controls, energy management and wider smart building technologies. Key responsibilities will include: Managing BMS and BEMS projects from preconstruction through to completion Coordinating design, procurement, installation and commissioning activities Managing project programmes, budgets and delivery milestones Working closely with BMS engineers, controls engineers and software teams Coordinating subcontractors and specialist suppliers Managing client relationships and regular project communication Attending site meetings and coordinating activities with principal contractors and other trades Monitoring progress against programme and resolving delivery issues Managing project risks and maintaining appropriate records Overseeing final testing, client witnessing and handover Supporting ongoing technical and operational requirements where required The successful candidate will ideally have: Previous Project Management experience within BMS, BEMS or building controls Strong understanding of BMS and HVAC control systems Previous involvement in commissioning and handover of BMS or BEMS systems Good understanding of project programmes, budgets and contractual requirements Experience coordinating engineers, subcontractors and specialist suppliers Strong client and stakeholder management skills Good understanding of smart buildings, energy management or Master Systems Integration Experience with BMS platforms such as Tridium, Trend, Distech, SAUTER or similar would be advantageous Strong organisational and communication skills A practical understanding of construction and building services environments Summary This is a strong opportunity for an experienced Project Manager - BMS / BEMS / Smart Buildings to join a growing specialist building controls business and take responsibility for technically complex commercial projects across London. With a salary of up to £85,000, long-term project work and exposure to BMS, BEMS and smart building technologies, the role offers a solid opportunity for an experienced project professional looking to progress within the intelligent buildings sector.
Location: London Role Overview A collaborative and entrepreneurial systematic investment team is seeking an experienced Quantitative Trading Systems Engineer to join its Systematic Macro trading team. This role focuses on building the C++ trading systems that underpin live systematic trading across global markets. Working closely with the Senior Portfolio Manager, you will build and maintain the pod's low-latency trading infrastructure across Futures, FX, and Fixed Income. The successful candidate will join the systematic macro pod to build the real-time, performance-critical C++ infrastructure that runs the team's trading - from the production alpha infrastructure through to execution. The role also focuses on production integration, deployment, monitoring, and live trading support, and on liaising with central technology teams to leverage the firm's existing data and execution services. Principal Responsibilities Build the team's C++ latency-sensitive trading systems from market data ingestion to order execution Productionise performance-critical signal computation within the trading systems Build the supporting research infrastructure, including replay and data management Support execution-related workflows across systematic strategies in Futures, FX, and Fixed Income Specify the team's performance and infrastructure requirements to central technology teams and work with them to deliver Partner with broader technology teams to make effective use of the firm's shared platforms and services - execution, risk, portfolio management, data, and monitoring Implement and maintain team-level trading controls and support live production processes, while ensuring appropriate integration with the firm's broader trading control framework Preferred Technical Skills & Experience 5+ years building production systems in an electronic trading environment in futures, FX, and/or fixed income products Strong C++ in a performance-critical, low-latency context (primary language for this role) Experience building production trading systems and market-data/order-entry components Deep understanding of concurrent, real-time systems design Strong software engineering fundamentals, including testing, version control, and code quality Strong Linux development experience Familiarity with monitoring, controls, and production support in a front-office setting is advantageous Experience working with shared internal services, APIs, or established platform infrastructure is highly valuable Highly Valued Experience Experience in low-latency execution or algorithmic trading systems development Understanding of systematic trading strategies and front-office trading workflows Experience supporting live trading processes, production controls, and operational robustness in systematic trading Experience working within a larger institutional technology environment and integrating with shared internal platforms Qualifications Bachelor's degree required; Master's or PhD preferred in Computer Science, Engineering, Physics, Mathematics, Statistics, or a related quantitative discipline Excellent problem-solving ability and attention to detail Strong ownership and ability to work independently Clear communicator with a collaborative approach Comfortable operating in a fast-paced, production-facing environment Calm and effective when responding to issues during trading hours Target Start Date: As soon as possible
Aug 24, 2026
Full time
Location: London Role Overview A collaborative and entrepreneurial systematic investment team is seeking an experienced Quantitative Trading Systems Engineer to join its Systematic Macro trading team. This role focuses on building the C++ trading systems that underpin live systematic trading across global markets. Working closely with the Senior Portfolio Manager, you will build and maintain the pod's low-latency trading infrastructure across Futures, FX, and Fixed Income. The successful candidate will join the systematic macro pod to build the real-time, performance-critical C++ infrastructure that runs the team's trading - from the production alpha infrastructure through to execution. The role also focuses on production integration, deployment, monitoring, and live trading support, and on liaising with central technology teams to leverage the firm's existing data and execution services. Principal Responsibilities Build the team's C++ latency-sensitive trading systems from market data ingestion to order execution Productionise performance-critical signal computation within the trading systems Build the supporting research infrastructure, including replay and data management Support execution-related workflows across systematic strategies in Futures, FX, and Fixed Income Specify the team's performance and infrastructure requirements to central technology teams and work with them to deliver Partner with broader technology teams to make effective use of the firm's shared platforms and services - execution, risk, portfolio management, data, and monitoring Implement and maintain team-level trading controls and support live production processes, while ensuring appropriate integration with the firm's broader trading control framework Preferred Technical Skills & Experience 5+ years building production systems in an electronic trading environment in futures, FX, and/or fixed income products Strong C++ in a performance-critical, low-latency context (primary language for this role) Experience building production trading systems and market-data/order-entry components Deep understanding of concurrent, real-time systems design Strong software engineering fundamentals, including testing, version control, and code quality Strong Linux development experience Familiarity with monitoring, controls, and production support in a front-office setting is advantageous Experience working with shared internal services, APIs, or established platform infrastructure is highly valuable Highly Valued Experience Experience in low-latency execution or algorithmic trading systems development Understanding of systematic trading strategies and front-office trading workflows Experience supporting live trading processes, production controls, and operational robustness in systematic trading Experience working within a larger institutional technology environment and integrating with shared internal platforms Qualifications Bachelor's degree required; Master's or PhD preferred in Computer Science, Engineering, Physics, Mathematics, Statistics, or a related quantitative discipline Excellent problem-solving ability and attention to detail Strong ownership and ability to work independently Clear communicator with a collaborative approach Comfortable operating in a fast-paced, production-facing environment Calm and effective when responding to issues during trading hours Target Start Date: As soon as possible
Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details
Aug 24, 2026
Full time
Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details
Role: Cyber and Information Assurance Consultant Mid, Senior & Principal Levels Location: Nottingham / Remote-first Working Arrangement: Remote-first, with travel to Nottingham and customer sites as required Salary: £65,000 £120,000 Are you a cyber security or information assurance professional who enjoys working with customers, getting into complex problems and turning security risks into practical solutions? We re looking for Cyber and Information Assurance Consultants across Mid, Senior and Principal levels to join a growing team working on complex, high-assurance environments across defence, government and critical infrastructure. This is a consultancy-focused role, so you won t be sitting in a purely internal security position. You ll work directly with customers, technical teams and senior stakeholders to assess risk, understand threats and vulnerabilities, and provide clear recommendations on how security can be improved. You ll work across areas including cyber risk assessments, information assurance, security governance and secure-by-design. Depending on your level and experience, you could be reviewing solution designs, developing security cases, supporting accreditation and assurance activity, maintaining risk registers or helping shape security requirements across major programmes. You ll also work closely with architects, engineers, project teams, suppliers and customer security teams. A big part of the role will be taking technical evidence and security requirements and explaining what they actually mean from a risk and business perspective. You ll ideally have professional experience in cyber security, information assurance, risk management, systems engineering or a related discipline, alongside experience contributing to security assessment or assurance work. You ll need to be comfortable producing clear security documentation and communicating with both technical and non-technical audiences. Knowledge of areas such as cyber risk management, security controls, threat and vulnerability assessment, security governance and risk acceptance is important. Experience with frameworks such as ISO 27001, ISO 27005, the NCSC Cyber Assessment Framework, NIST or MOD security standards would be beneficial. Experience within defence, government, critical infrastructure or another high-assurance environment would be particularly relevant. Experience with cloud security assurance, security architecture reviews, accreditation or secure information exchange would also be useful. The level you join at will depend on your experience, with opportunities available from Mid-level through to Principal. There is a clear progression route into senior consultancy, security architecture, cyber risk leadership and information assurance leadership, with support towards professional qualifications such as CISSP, CISM, CRISC and ISO 27001. The role is remote-first, although you ll need to be comfortable travelling to the Nottingham office and customer sites when required. Regular UK travel may form part of the role, with occasional international travel possible. If you re looking for a role where you can work on genuinely complex security challenges, have direct customer exposure and continue developing your career across cyber security and assurance, please apply now or get in touch to find out more. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.
Aug 23, 2026
Full time
Role: Cyber and Information Assurance Consultant Mid, Senior & Principal Levels Location: Nottingham / Remote-first Working Arrangement: Remote-first, with travel to Nottingham and customer sites as required Salary: £65,000 £120,000 Are you a cyber security or information assurance professional who enjoys working with customers, getting into complex problems and turning security risks into practical solutions? We re looking for Cyber and Information Assurance Consultants across Mid, Senior and Principal levels to join a growing team working on complex, high-assurance environments across defence, government and critical infrastructure. This is a consultancy-focused role, so you won t be sitting in a purely internal security position. You ll work directly with customers, technical teams and senior stakeholders to assess risk, understand threats and vulnerabilities, and provide clear recommendations on how security can be improved. You ll work across areas including cyber risk assessments, information assurance, security governance and secure-by-design. Depending on your level and experience, you could be reviewing solution designs, developing security cases, supporting accreditation and assurance activity, maintaining risk registers or helping shape security requirements across major programmes. You ll also work closely with architects, engineers, project teams, suppliers and customer security teams. A big part of the role will be taking technical evidence and security requirements and explaining what they actually mean from a risk and business perspective. You ll ideally have professional experience in cyber security, information assurance, risk management, systems engineering or a related discipline, alongside experience contributing to security assessment or assurance work. You ll need to be comfortable producing clear security documentation and communicating with both technical and non-technical audiences. Knowledge of areas such as cyber risk management, security controls, threat and vulnerability assessment, security governance and risk acceptance is important. Experience with frameworks such as ISO 27001, ISO 27005, the NCSC Cyber Assessment Framework, NIST or MOD security standards would be beneficial. Experience within defence, government, critical infrastructure or another high-assurance environment would be particularly relevant. Experience with cloud security assurance, security architecture reviews, accreditation or secure information exchange would also be useful. The level you join at will depend on your experience, with opportunities available from Mid-level through to Principal. There is a clear progression route into senior consultancy, security architecture, cyber risk leadership and information assurance leadership, with support towards professional qualifications such as CISSP, CISM, CRISC and ISO 27001. The role is remote-first, although you ll need to be comfortable travelling to the Nottingham office and customer sites when required. Regular UK travel may form part of the role, with occasional international travel possible. If you re looking for a role where you can work on genuinely complex security challenges, have direct customer exposure and continue developing your career across cyber security and assurance, please apply now or get in touch to find out more. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.
About You We're seeking a results-focused, innovative, self-driven, and well-qualified individual to join our talented team as our General Counsel. In this role, you will safeguard and enable enterprise growth across BCE companies by directing global legal, compliance and EHS strategy, risk management, and governance across the BCE enterprise; leading an in house team and outside counsel; standardizing contracts and intellectual property (IP) protection; stewarding subsidiary/entity affairs; and advising the Chairman/Board on material legal, compliance, EHS, and transaction risks, remedies, and controls. Key Responsibilities Set global legal strategy aligned to enterprise growth, risk appetite, and values by translating priorities into policies, playbooks, and guardrails; defining approval thresholds; sequencing initiatives across regions and entities; and measuring impact via matter, cycle time, and risk KPI's. Lead and develop an in house legal team and outside counsel by directing attorneys and paralegals, setting goals and standards; coaching and reviews; overseeing local firms and alternative legal services, and enforcing fee arrangements and service levels. Direct corporate governance and entity management across BCE companies by coordinating Advisory Board agendas and minutes, maintaining subsidiary records and authorizations, ensuring filings and powers of attorney, managing inter company and related party approvals, and validating director/officer duties. Standardize global commercial contracting and channel frameworks by issuing templates, clause libraries, and fallback positions for sales, procurement, distribution, OEM, and licensing; defining escalation criteria; and reducing cycle time while strengthening risk posture. Protect and monetize intellectual property across brands, products, and services by setting filing and maintenance strategies, advising on patent clearance for new products and processes, prioritizing enforcement, managing NDAs and restrictive covenants, and aligning IP roadmaps with business plans. Govern global compliance for bribery, trade, competition, and data privacy by setting clear standards and oversight, advising the business on legal and regulatory requirements, escalating material issues and suspected violations, and partnering with business leaders to ensure effective training, implementation and corrective actions. Lead dispute, investigation, and litigation strategy to optimal business outcomes by triaging claims, setting matter strategy and reserves with Finance, directing investigations, negotiating settlements, and reporting exposure and options to the Director and Chairman. Guide strategic transactions, carve outs/roll ins, and partnerships by running legal due diligence, negotiating definitive agreements, coordinating regulatory clearances, structuring transitional or shared services agreements between BCE companies, and embedding post close controls into operating rhythms. Strengthen policy, records, and contract lifecycle control across functions by issuing records retention and legal hold standards, deploying CLM workflows/approval gates, auditing adherence, and reporting control health and remediation timelines to leadership. Strengthen corporate compliance and EHS by establishing global corporate compliance and EHS frameworks that reduce regulatory risk and incident frequency; standardizing policies, controls, and audit protocols. Integrating performance metrics into operations and ensuring timely identification, reporting, and remediation; and a sustained improvement in safety and compliance across all regions. Qualifications Juris Doctor (JD) required; active license in a US jurisdiction, with eligibility to practice in principal operating locations. 15+ years corporate legal practice. 8+ years in house with multinational scope; experience leading attorneys/paralegals and managing outside counsel across jurisdictions; exposure to chemical engineering businesses and equipment/technology contracting preferred. Commercial contracting (incl. service, MSAs, and equipment), corporate governance/subsidiary management, IP strategy, disputes/litigation, ABAC, trade controls/sanctions, competition, privacy; contract management and eDiscovery fluency; inter company and related party governance. Business first judgment; concise Board communication; negotiation to closure; policy design and implementation; matter/budget management; cross cultural influence; change leadership. Travel Required: Up to 30% including international and intercontinental travel Salary Range: $212,000 - $290,000 Benefits Attractive salaries Personal growth opportunities Excellent benefits packages that include: Health Care Plan (Medical, Dental & Vision) - effective date of hire Retirement Plan (401K) Life Insurance (Basic, Voluntary & AD&D) Generous Paid Time Off and Public Holidays Short Term and Long Term Disability Free uniforms and footwear Training & Development Tuition Reimbursement Wellness Resources Dymax takes the compensation of its employees very seriously and considers several factors when determining the total compensation package including but not limited to location, market range, skills, knowledge, experience, and abilities. The base salary range represents the low and high end of the Dymax salary range for this position. Actual salaries will vary and may be above or below the range. The range listed is just one component of Dymax's total compensation packages for employees. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Dymax provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, domestic violence status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Aug 23, 2026
Full time
About You We're seeking a results-focused, innovative, self-driven, and well-qualified individual to join our talented team as our General Counsel. In this role, you will safeguard and enable enterprise growth across BCE companies by directing global legal, compliance and EHS strategy, risk management, and governance across the BCE enterprise; leading an in house team and outside counsel; standardizing contracts and intellectual property (IP) protection; stewarding subsidiary/entity affairs; and advising the Chairman/Board on material legal, compliance, EHS, and transaction risks, remedies, and controls. Key Responsibilities Set global legal strategy aligned to enterprise growth, risk appetite, and values by translating priorities into policies, playbooks, and guardrails; defining approval thresholds; sequencing initiatives across regions and entities; and measuring impact via matter, cycle time, and risk KPI's. Lead and develop an in house legal team and outside counsel by directing attorneys and paralegals, setting goals and standards; coaching and reviews; overseeing local firms and alternative legal services, and enforcing fee arrangements and service levels. Direct corporate governance and entity management across BCE companies by coordinating Advisory Board agendas and minutes, maintaining subsidiary records and authorizations, ensuring filings and powers of attorney, managing inter company and related party approvals, and validating director/officer duties. Standardize global commercial contracting and channel frameworks by issuing templates, clause libraries, and fallback positions for sales, procurement, distribution, OEM, and licensing; defining escalation criteria; and reducing cycle time while strengthening risk posture. Protect and monetize intellectual property across brands, products, and services by setting filing and maintenance strategies, advising on patent clearance for new products and processes, prioritizing enforcement, managing NDAs and restrictive covenants, and aligning IP roadmaps with business plans. Govern global compliance for bribery, trade, competition, and data privacy by setting clear standards and oversight, advising the business on legal and regulatory requirements, escalating material issues and suspected violations, and partnering with business leaders to ensure effective training, implementation and corrective actions. Lead dispute, investigation, and litigation strategy to optimal business outcomes by triaging claims, setting matter strategy and reserves with Finance, directing investigations, negotiating settlements, and reporting exposure and options to the Director and Chairman. Guide strategic transactions, carve outs/roll ins, and partnerships by running legal due diligence, negotiating definitive agreements, coordinating regulatory clearances, structuring transitional or shared services agreements between BCE companies, and embedding post close controls into operating rhythms. Strengthen policy, records, and contract lifecycle control across functions by issuing records retention and legal hold standards, deploying CLM workflows/approval gates, auditing adherence, and reporting control health and remediation timelines to leadership. Strengthen corporate compliance and EHS by establishing global corporate compliance and EHS frameworks that reduce regulatory risk and incident frequency; standardizing policies, controls, and audit protocols. Integrating performance metrics into operations and ensuring timely identification, reporting, and remediation; and a sustained improvement in safety and compliance across all regions. Qualifications Juris Doctor (JD) required; active license in a US jurisdiction, with eligibility to practice in principal operating locations. 15+ years corporate legal practice. 8+ years in house with multinational scope; experience leading attorneys/paralegals and managing outside counsel across jurisdictions; exposure to chemical engineering businesses and equipment/technology contracting preferred. Commercial contracting (incl. service, MSAs, and equipment), corporate governance/subsidiary management, IP strategy, disputes/litigation, ABAC, trade controls/sanctions, competition, privacy; contract management and eDiscovery fluency; inter company and related party governance. Business first judgment; concise Board communication; negotiation to closure; policy design and implementation; matter/budget management; cross cultural influence; change leadership. Travel Required: Up to 30% including international and intercontinental travel Salary Range: $212,000 - $290,000 Benefits Attractive salaries Personal growth opportunities Excellent benefits packages that include: Health Care Plan (Medical, Dental & Vision) - effective date of hire Retirement Plan (401K) Life Insurance (Basic, Voluntary & AD&D) Generous Paid Time Off and Public Holidays Short Term and Long Term Disability Free uniforms and footwear Training & Development Tuition Reimbursement Wellness Resources Dymax takes the compensation of its employees very seriously and considers several factors when determining the total compensation package including but not limited to location, market range, skills, knowledge, experience, and abilities. The base salary range represents the low and high end of the Dymax salary range for this position. Actual salaries will vary and may be above or below the range. The range listed is just one component of Dymax's total compensation packages for employees. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Dymax provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, domestic violence status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
About the Role: Grade Level (for internal use): 15 The Team: The Enterprise Solutions Technology division includes workflow solutions across Lending, Reg & Compliance, Global Markets and Software business. Enterprise Solutions provides industry leading set of integrated tools, solutions and data services that help our clients make efficient investment decisions, operate with greater efficiency, and provide transparency across their business and to their key stakeholders. Responsibilities and Impact: We are seeking a senior technology leader to partner closely with the Head of Technology for Enterprise Solutions in shaping the technology direction of a complex, regulated financial services estate. This is a hands on principal engineer and architect role, not a pure governance or advisory architecture function. The role exists to ensure technology strategy is grounded in engineering reality, deep domain understanding, and operational outcomes. You will work directly with the Head of Technology to shape and refine strategy, stress testing ideas against engineering, regulatory, and operational constraints. You will engage closely with senior engineering leaders, platform teams, and product partners to turn strategy into real designs that can be built and run. You will get involved early in complex or high risk initiatives and step in when it matters most, including during major incidents and recovery efforts. A key part of the role is knowing when to push forward, when to simplify, and when to slow down or stop. You will act as the engineering authority across Enterprise Solutions, leading primarily through influence rather than line management and the role carries broad responsibility for shaping architecture, design, and delivery decisions across multiple teams and domains. You will balance long term strategy with near term delivery constraints, operational resilience, and regulatory expectations, and represent the technology direction with clients and senior stakeholders, explaining design choices and trade offs clearly and credibly. Overall, this role strengthens the technology function by making strategy buildable, operable, and defensible. What We're Looking For: 25+ years of experience building and operating systems in tier 1 banks, capital markets infrastructure, or similarly regulated, high availability environments. Has owned or deeply influenced production systems under real load, is comfortable reading and writing code, and works effectively alongside senior engineers. Experienced in setting technology strategy and architecture for complex, regulated, data driven platforms, with strong experience in banking and financial services (public and private markets, syndicated lending, securities processing, counterparty and client lifecycle, regulatory reporting, or similar domains). Experienced in defining and owning multi year technology strategies and roadmaps, setting clear priorities and sequencing change based on business outcomes, regulatory needs, and engineering reality. Sets and governs reference architectures, design standards, and architectural guardrails, ensuring teams build in a consistent, scalable, and sustainable way. Strong understanding of how financial products, operational workflows, data, and controls work end to end, and uses that understanding to make sound system and platform design decisions. Has demonstrated strong judgment designing distributed, event driven, and data intensive systems, including how they scale, fail, recover, and isolate risk. Experienced with cloud platforms (AWS, Azure, GCP) and the trade offs around managed services, multi region and multi tenant designs, data residency, cost, performance, and resilience. Knowledge of advanced and new architectures and design paradigms (e.g. agent based systems, service abstractions, semantic data models, knowledge graphs, and where to apply or not). Experienced in ensuring AI enabled systems are explainable, auditable, and operationally safe, with clear judgment on when AI is appropriate versus deterministic or rules based approaches. Strong understanding of analytics and AI in production (e.g. data quality, anomaly detection, fraud/AML, workflow automation) and understands what it takes to run these reliably in regulated environments. Designs with security and controls built in, with a strong understanding of identity, data protection, failure containment, and regulatory risk. Acts as a coach and multiplier for senior engineers and architects, raising the bar through hands on problem solving, design reviews, and practical guidance rather than formal line management. Pragmatic, direct, and outcome focused. Leads through earned credibility and influence, is comfortable shaping decisions without authority, and communicates complex technical topics clearly to business, client, and regulatory audiences. Measures success by outcomes and evidence, not intent or presentation: technology strategy that translates into systems that work in production, reduce late stage surprises and repeat incidents, scale and recover as designed, and stand up to real operational and regulatory scrutiny. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal.
Aug 22, 2026
Full time
About the Role: Grade Level (for internal use): 15 The Team: The Enterprise Solutions Technology division includes workflow solutions across Lending, Reg & Compliance, Global Markets and Software business. Enterprise Solutions provides industry leading set of integrated tools, solutions and data services that help our clients make efficient investment decisions, operate with greater efficiency, and provide transparency across their business and to their key stakeholders. Responsibilities and Impact: We are seeking a senior technology leader to partner closely with the Head of Technology for Enterprise Solutions in shaping the technology direction of a complex, regulated financial services estate. This is a hands on principal engineer and architect role, not a pure governance or advisory architecture function. The role exists to ensure technology strategy is grounded in engineering reality, deep domain understanding, and operational outcomes. You will work directly with the Head of Technology to shape and refine strategy, stress testing ideas against engineering, regulatory, and operational constraints. You will engage closely with senior engineering leaders, platform teams, and product partners to turn strategy into real designs that can be built and run. You will get involved early in complex or high risk initiatives and step in when it matters most, including during major incidents and recovery efforts. A key part of the role is knowing when to push forward, when to simplify, and when to slow down or stop. You will act as the engineering authority across Enterprise Solutions, leading primarily through influence rather than line management and the role carries broad responsibility for shaping architecture, design, and delivery decisions across multiple teams and domains. You will balance long term strategy with near term delivery constraints, operational resilience, and regulatory expectations, and represent the technology direction with clients and senior stakeholders, explaining design choices and trade offs clearly and credibly. Overall, this role strengthens the technology function by making strategy buildable, operable, and defensible. What We're Looking For: 25+ years of experience building and operating systems in tier 1 banks, capital markets infrastructure, or similarly regulated, high availability environments. Has owned or deeply influenced production systems under real load, is comfortable reading and writing code, and works effectively alongside senior engineers. Experienced in setting technology strategy and architecture for complex, regulated, data driven platforms, with strong experience in banking and financial services (public and private markets, syndicated lending, securities processing, counterparty and client lifecycle, regulatory reporting, or similar domains). Experienced in defining and owning multi year technology strategies and roadmaps, setting clear priorities and sequencing change based on business outcomes, regulatory needs, and engineering reality. Sets and governs reference architectures, design standards, and architectural guardrails, ensuring teams build in a consistent, scalable, and sustainable way. Strong understanding of how financial products, operational workflows, data, and controls work end to end, and uses that understanding to make sound system and platform design decisions. Has demonstrated strong judgment designing distributed, event driven, and data intensive systems, including how they scale, fail, recover, and isolate risk. Experienced with cloud platforms (AWS, Azure, GCP) and the trade offs around managed services, multi region and multi tenant designs, data residency, cost, performance, and resilience. Knowledge of advanced and new architectures and design paradigms (e.g. agent based systems, service abstractions, semantic data models, knowledge graphs, and where to apply or not). Experienced in ensuring AI enabled systems are explainable, auditable, and operationally safe, with clear judgment on when AI is appropriate versus deterministic or rules based approaches. Strong understanding of analytics and AI in production (e.g. data quality, anomaly detection, fraud/AML, workflow automation) and understands what it takes to run these reliably in regulated environments. Designs with security and controls built in, with a strong understanding of identity, data protection, failure containment, and regulatory risk. Acts as a coach and multiplier for senior engineers and architects, raising the bar through hands on problem solving, design reviews, and practical guidance rather than formal line management. Pragmatic, direct, and outcome focused. Leads through earned credibility and influence, is comfortable shaping decisions without authority, and communicates complex technical topics clearly to business, client, and regulatory audiences. Measures success by outcomes and evidence, not intent or presentation: technology strategy that translates into systems that work in production, reduce late stage surprises and repeat incidents, scale and recover as designed, and stand up to real operational and regulatory scrutiny. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal.
We have an exciting opportunity for a permanent Construction Manager to join our Area 7 account in Leicester . This role is based at Leicester Forest East Depot (LE3 3GA) and offers the opportunity to play a key role in delivering essential infrastructure improvements across the East Midlands. Working in partnership with National Highways , Amey delivers maintenance and response services across over 1,600km of motorway and trunk road network throughout the East Midlands. Our teams are responsible for maintaining safe, reliable journeys for millions of road users every year. The standard hours of work are 40 hours per week , although occasional night-time site visits may be required to support operational delivery. The Role Reporting to the Principal Construction Manager , you will be responsible for leading the delivery of Minor Capital Investment (MCI) schemes , ensuring projects are completed safely, to programme, within budget and to the highest quality standards. You will manage a varied portfolio of highways and civil engineering projects including drainage, pavement, structures and soft estate works. This role requires strong technical knowledge, excellent stakeholder management skills and a commitment to delivering outstanding customer outcomes. You will be responsible for: Managing projects from design handover through to successful completion. Delivering works safely, on programme and within budget. Providing regular updates on project progress, risks and design issues. Conducting site inspections and ensuring appropriate safety controls are in place. Producing and maintaining project documentation and records. Coordinating subcontractors, suppliers and project stakeholders. Maintaining high standards of quality, safety and environmental compliance. Attending and contributing to project, programme and health and safety meetings. Identifying and mitigating project and site risks. Working closely with Commercial and Procurement teams to support project delivery. Planning and delivering schemes that minimise disruption to road users. Coordinating supervision and resource requirements with other Construction Managers. Ensuring works are delivered right first time and without unnecessary delays. Supporting measurement and valuation activities. Providing lessons learned and project feedback to key stakeholders. Ensuring compliance with CDM Regulations, Chapter 8, DMRB, MCHW and all relevant health and safety legislation. Why Join Us? At Amey, we don't just offer jobs, we offer careers. As one of the UK's leading infrastructure organisations, we're committed to supporting our people through professional development, recognition and wellbeing initiatives. Career Development Structured career progression opportunities. Access to industry-leading training and development programmes. Professional membership support where applicable. Wellbeing and Benefits Competitive salary. Company pension scheme. Minimum 24 days annual leave plus bank holidays. Option to buy additional annual leave. Flexible benefits package. Cycle to Work scheme. Employee discounts and rewards portal. Two paid volunteering days each year. What You'll Bring Essential Experience managing highways, civils, structures or maintenance projects. Strong understanding of construction delivery within a highways environment. Valid UK Driving Licence. IOSH or SMSTS qualification. CSCS Supervisory Card. Experience managing subcontractors and supply chain partners. Strong stakeholder and client management skills. Experience reviewing RAMS and Construction Phase Plans. Knowledge of permit requirements and site safety practices. Desirable Degree in Civil Engineering or a related discipline. ONC Level 3 in Engineering. Experience delivering works on high-speed road networks. Familiarity with High Speed Traffic Management. Experience using Microsoft Office, SharePoint and project management systems. What You'll Have Knowledge Of CDM Regulations. Design Manual for Roads and Bridges (DMRB). Manual of Contract Documents for Highway Works (MCHW). Chapter 8 Traffic Management requirements. Risk management and commercial awareness principles. Highways construction and maintenance practices. Who You'll Be We're looking for someone who can demonstrate: Strong leadership and people management skills. Excellent communication and stakeholder engagement abilities. Sound decision-making and problem-solving capability. Effective planning and organisational skills. A collaborative, customer-focused approach. Commitment to safety, quality and continuous improvement. The ability to work effectively across geographically dispersed teams. Application Guidance At Amey, we value diversity and inclusion and welcome applications from people of all backgrounds. We are committed to creating a workplace where everyone can thrive and reach their full potential. As a Disability Confident Leader, we guarantee an interview to disabled applicants who meet the minimum criteria for the role. If you require any adjustments to support you during the recruitment process, please contact (url removed) .
Aug 22, 2026
Full time
We have an exciting opportunity for a permanent Construction Manager to join our Area 7 account in Leicester . This role is based at Leicester Forest East Depot (LE3 3GA) and offers the opportunity to play a key role in delivering essential infrastructure improvements across the East Midlands. Working in partnership with National Highways , Amey delivers maintenance and response services across over 1,600km of motorway and trunk road network throughout the East Midlands. Our teams are responsible for maintaining safe, reliable journeys for millions of road users every year. The standard hours of work are 40 hours per week , although occasional night-time site visits may be required to support operational delivery. The Role Reporting to the Principal Construction Manager , you will be responsible for leading the delivery of Minor Capital Investment (MCI) schemes , ensuring projects are completed safely, to programme, within budget and to the highest quality standards. You will manage a varied portfolio of highways and civil engineering projects including drainage, pavement, structures and soft estate works. This role requires strong technical knowledge, excellent stakeholder management skills and a commitment to delivering outstanding customer outcomes. You will be responsible for: Managing projects from design handover through to successful completion. Delivering works safely, on programme and within budget. Providing regular updates on project progress, risks and design issues. Conducting site inspections and ensuring appropriate safety controls are in place. Producing and maintaining project documentation and records. Coordinating subcontractors, suppliers and project stakeholders. Maintaining high standards of quality, safety and environmental compliance. Attending and contributing to project, programme and health and safety meetings. Identifying and mitigating project and site risks. Working closely with Commercial and Procurement teams to support project delivery. Planning and delivering schemes that minimise disruption to road users. Coordinating supervision and resource requirements with other Construction Managers. Ensuring works are delivered right first time and without unnecessary delays. Supporting measurement and valuation activities. Providing lessons learned and project feedback to key stakeholders. Ensuring compliance with CDM Regulations, Chapter 8, DMRB, MCHW and all relevant health and safety legislation. Why Join Us? At Amey, we don't just offer jobs, we offer careers. As one of the UK's leading infrastructure organisations, we're committed to supporting our people through professional development, recognition and wellbeing initiatives. Career Development Structured career progression opportunities. Access to industry-leading training and development programmes. Professional membership support where applicable. Wellbeing and Benefits Competitive salary. Company pension scheme. Minimum 24 days annual leave plus bank holidays. Option to buy additional annual leave. Flexible benefits package. Cycle to Work scheme. Employee discounts and rewards portal. Two paid volunteering days each year. What You'll Bring Essential Experience managing highways, civils, structures or maintenance projects. Strong understanding of construction delivery within a highways environment. Valid UK Driving Licence. IOSH or SMSTS qualification. CSCS Supervisory Card. Experience managing subcontractors and supply chain partners. Strong stakeholder and client management skills. Experience reviewing RAMS and Construction Phase Plans. Knowledge of permit requirements and site safety practices. Desirable Degree in Civil Engineering or a related discipline. ONC Level 3 in Engineering. Experience delivering works on high-speed road networks. Familiarity with High Speed Traffic Management. Experience using Microsoft Office, SharePoint and project management systems. What You'll Have Knowledge Of CDM Regulations. Design Manual for Roads and Bridges (DMRB). Manual of Contract Documents for Highway Works (MCHW). Chapter 8 Traffic Management requirements. Risk management and commercial awareness principles. Highways construction and maintenance practices. Who You'll Be We're looking for someone who can demonstrate: Strong leadership and people management skills. Excellent communication and stakeholder engagement abilities. Sound decision-making and problem-solving capability. Effective planning and organisational skills. A collaborative, customer-focused approach. Commitment to safety, quality and continuous improvement. The ability to work effectively across geographically dispersed teams. Application Guidance At Amey, we value diversity and inclusion and welcome applications from people of all backgrounds. We are committed to creating a workplace where everyone can thrive and reach their full potential. As a Disability Confident Leader, we guarantee an interview to disabled applicants who meet the minimum criteria for the role. If you require any adjustments to support you during the recruitment process, please contact (url removed) .
Senior / Principal Software Engineer Calibration & Controls Wrexham Permanent An exciting opportunity has arisen for an experienced Embedded Software Engineer to join a market-leading engineering business developing advanced transmission control systems for off-highway vehicles. We're keen to speak with both Senior and Principal level engineers, with the role and package tailored to your experience. The Role You'll join a collaborative Electronics & Controls team, developing embedded software for transmission control systems and supporting products from concept through to validation. Key responsibilities include: Designing and developing embedded software in C. Producing high and low-level software designs from functional requirements. Working within a structured V-model software development process. Supporting verification and validation activities, including automated testing. Carrying out code reviews and ensuring compliance with software quality and functional safety standards. Working closely with multidisciplinary engineering teams throughout the development lifecycle. About You - We're looking for engineers with: Proven experience developing embedded software in C (C++ also beneficial). Experience working on embedded control systems. Knowledge of functional safety and relevant ISO standards. Experience following structured software development processes. Good communication skills and the ability to work effectively within engineering teams. Desirable Experience AUTOSAR (DaVinci, ISOLAR, tresos) Vector tools (CANoe, CANalyzer, CANape) Python scripting for test automation MATLAB/Simulink Static code analysis and software metrics Bootloader development Atlassian tools What's on Offer Competitive salary dependent on experience. Excellent benefits package including strong pension, healthcare and lots of other perks. Career progression opportunities. Opportunity to work on innovative embedded control technology within a highly respected engineering environment. Interested? If you're an experienced Embedded Software Engineer looking for your next challenge, we'd love to hear from you Please note - Sponsorship is not available Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Aug 22, 2026
Full time
Senior / Principal Software Engineer Calibration & Controls Wrexham Permanent An exciting opportunity has arisen for an experienced Embedded Software Engineer to join a market-leading engineering business developing advanced transmission control systems for off-highway vehicles. We're keen to speak with both Senior and Principal level engineers, with the role and package tailored to your experience. The Role You'll join a collaborative Electronics & Controls team, developing embedded software for transmission control systems and supporting products from concept through to validation. Key responsibilities include: Designing and developing embedded software in C. Producing high and low-level software designs from functional requirements. Working within a structured V-model software development process. Supporting verification and validation activities, including automated testing. Carrying out code reviews and ensuring compliance with software quality and functional safety standards. Working closely with multidisciplinary engineering teams throughout the development lifecycle. About You - We're looking for engineers with: Proven experience developing embedded software in C (C++ also beneficial). Experience working on embedded control systems. Knowledge of functional safety and relevant ISO standards. Experience following structured software development processes. Good communication skills and the ability to work effectively within engineering teams. Desirable Experience AUTOSAR (DaVinci, ISOLAR, tresos) Vector tools (CANoe, CANalyzer, CANape) Python scripting for test automation MATLAB/Simulink Static code analysis and software metrics Bootloader development Atlassian tools What's on Offer Competitive salary dependent on experience. Excellent benefits package including strong pension, healthcare and lots of other perks. Career progression opportunities. Opportunity to work on innovative embedded control technology within a highly respected engineering environment. Interested? If you're an experienced Embedded Software Engineer looking for your next challenge, we'd love to hear from you Please note - Sponsorship is not available Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Job Description Summary The Control Automation System Principal Engineer serves as the technical authority for automation systems, industrial controls, and operational technologies across the organization. This role leads the architecture, design, implementation, and governance of advanced control systems that enable safe, reliable, and efficient manufacturing or operational performance click apply for full job details
Aug 22, 2026
Full time
Job Description Summary The Control Automation System Principal Engineer serves as the technical authority for automation systems, industrial controls, and operational technologies across the organization. This role leads the architecture, design, implementation, and governance of advanced control systems that enable safe, reliable, and efficient manufacturing or operational performance click apply for full job details
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. Responsibilities AI Strategy & Platform Architecture Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership-training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why This Role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems. Banking operations at this scale generate AI challenges that simply do not exist elsewhere - legacy system integration, regulatory auditability requirements, multi jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Equal Employment Opportunity Citi is an equal opportunity and affirmative action employer . click apply for full job details
Aug 22, 2026
Full time
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. Responsibilities AI Strategy & Platform Architecture Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership-training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why This Role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems. Banking operations at this scale generate AI challenges that simply do not exist elsewhere - legacy system integration, regulatory auditability requirements, multi jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Equal Employment Opportunity Citi is an equal opportunity and affirmative action employer . click apply for full job details
Principal Software Engineer Location: South Cambridgeshire Working Environment: Hybrid (3 days on-site per week) The company is a highly reputable technology firm operating at the bleeding edge of radar technology. To meet the demands of an exciting product roadmap, they are looking to bolster their software engineering team with the hire of a Principal Software Engineer. As a Principal Software Engineer, you will be working on the software that supports and controls these radars, with a focus on the design and architecture of complex data processing, distribution, and display systems. You will take ownership and steer the development of major new features and product developments, whilst leading by example and ensuring best practices are followed. Key Requirements: Experience of owning and technically leading projects delivering significant software developments. 10+ years of software development experience, primarily on Windows platforms. Excellent understanding and experience of object-oriented software design with C++. Effective at working directly with end customers & users. You should also have some of the following: Software based degree, or an engineering/science degree with software bias. Experience in the development of software for the security/defence sectors. Experience working with or knowledge of SQL databases. Knowledge and experience of effective UI design & UX best practice. Good understanding of real-time software design & development. Experience with embedded Linux and embedded software development.
Aug 21, 2026
Full time
Principal Software Engineer Location: South Cambridgeshire Working Environment: Hybrid (3 days on-site per week) The company is a highly reputable technology firm operating at the bleeding edge of radar technology. To meet the demands of an exciting product roadmap, they are looking to bolster their software engineering team with the hire of a Principal Software Engineer. As a Principal Software Engineer, you will be working on the software that supports and controls these radars, with a focus on the design and architecture of complex data processing, distribution, and display systems. You will take ownership and steer the development of major new features and product developments, whilst leading by example and ensuring best practices are followed. Key Requirements: Experience of owning and technically leading projects delivering significant software developments. 10+ years of software development experience, primarily on Windows platforms. Excellent understanding and experience of object-oriented software design with C++. Effective at working directly with end customers & users. You should also have some of the following: Software based degree, or an engineering/science degree with software bias. Experience in the development of software for the security/defence sectors. Experience working with or knowledge of SQL databases. Knowledge and experience of effective UI design & UX best practice. Good understanding of real-time software design & development. Experience with embedded Linux and embedded software development.
Ernest Gordon Recruitment
Aylesbury, Buckinghamshire
Principal Controls Engineer (Training on Mitsubishi) Aylesbury Up To £75,000 + Training Provided on Mitsubishi PLC + Overtime Opportunities + Skill Development Are you a Principal Controls Engineer or similar, ideally with experience across control system design, programming and commissioning, looking for a role at a specialist control systems company, where you will be the technical go to for all Co click apply for full job details
Aug 21, 2026
Full time
Principal Controls Engineer (Training on Mitsubishi) Aylesbury Up To £75,000 + Training Provided on Mitsubishi PLC + Overtime Opportunities + Skill Development Are you a Principal Controls Engineer or similar, ideally with experience across control system design, programming and commissioning, looking for a role at a specialist control systems company, where you will be the technical go to for all Co click apply for full job details
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non financial regulatory reporting, payroll, and international operations. The scale is significant, the problems are unsolved at this level of complexity, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications: Technological 15+ years of experience in Technology - Required Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education: Bachelors required; Master's in CS, AI/ML, or related field preferred. What success looks like: Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why this role Scale that is rare click apply for full job details
Aug 21, 2026
Full time
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non financial regulatory reporting, payroll, and international operations. The scale is significant, the problems are unsolved at this level of complexity, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications: Technological 15+ years of experience in Technology - Required Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education: Bachelors required; Master's in CS, AI/ML, or related field preferred. What success looks like: Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why this role Scale that is rare click apply for full job details
Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. Location London Employment Type Full time Location Type On-site Department Research The opportunity Substrate is building the protein production cascade that turns a sequence into characterised, quality-controlled protein at scale, and you will build it from the first manual run. This is the work upstream of every protein data point Substrate generates: DNA design, molecular biology, protein expression, purification, and quality control, developed by hand and engineered to move onto automation. The data this cascade produces is the product. Substrate is the critical infrastructure layer between AI and biology, and biological foundation models can predict but cannot experiment; the high-quality, large-scale data they need does not exist yet. Your work at the bench is what brings it into existence. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict but cannot experiment, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are not a CRO and we are not a cloud lab. The company was founded by four co-founders and is funded through a combination of equity and debt. The first lab is in London, with a larger automation node to follow. The work starts with two scientific verticals, protein characterisation and functional genomics, and this role sits at the centre of the protein work. The role You will build the protein production cascade that sits upstream of molecular characterisation and functional assays: DNA design, molecular biology, protein expression, purification, and quality control through analytical characterisation. The cascade will eventually run autonomously on Substrate's automation platform. In the first phase, you develop each step by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each phase works before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. You will work directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution, at Scientist or Senior Scientist level, alongside Principal Scientists at the bench, and you will grow into protocol authorship over the first year. What you will do in your first twelve months Phase 0 - NOW to AUG 2026 Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. Get hands on the first priority protein production workflows as the day-one assay menu locks. Start building DNA design and production (linear DNA), protein expression (cell-free), and protein purification and QC at high throughput. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data-structure and metadata decisions that translate into automation design. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to the day-one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. Phase 1 - SEP to DEC 2026 Have a linear DNA, cell-free expression, purification, and QC workflow in a semi- automated state, running at the scale of hundreds to thousands per week and ready for full automation. Co-design protocols with the software and automation engineering teams so the manual versions you validate are automation-ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. Start building DNA design and production (plasmid DNA), protein expression (mammalian), and protein purification and QC at high throughput, again by hand on equipment that will move onto the platform. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to co-design conversations with the first commercial customers, including the foundation-model partners coming online from 2027. Phase 2 - JAN to MAR 2027 Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the assay menu to customers through manual and semi-automated services. Run real experiments for real customers. Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, running, andvalidating at the bench. You are comfortable in the details. You have hands-on experience with high throughput, plate-based methods across molecular biology, protein expression, purification, and QC. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands-on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non-biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. This role is open at Scientist and Senior Scientist level. The work is hands-on bench science at both, with collaboration into automation and software; the difference is depth of ownership, design authority, and how much of the team you help build. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. Must Have Comfortable handling DNA design and linear and plasmid DNA production at high throughput, expressing proteins, and purifying them with QC steps for validation, executing protocols at the bench through manual, semi-automated, and instrumented phases. Core experience within biologics. A track record of working alongside non-scientist colleagues (automation, software, computational) on a shared workflow. A PhD in protein biochemistry, molecular or structural biology, biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands-on experience; or a relevant science MSc with five or more years of equivalent bench experience in protein science. Independent, hands-on competence across protein science: molecular biology (DNA production with Gibson and Golden Gate assembly at transfection-grade quality), protein expression (cell-free, IVTT, E. coli and mammalian), and protein purification (automated magnetic-bead workflows), with exposure to at least one of these at high throughput (24, 96, and 384-well plate formats). Protein characterisation across at least two core biophysical methods (for example CE-SDS, DLS, nanoDSF/DSF, analytical SEC, HIC, or LC-MS intact mass analysis). Confident data analysis, including telling instrument artefacts apart from genuine molecule behaviour. Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous data infrastructure. Ready to grow into protocol authorship and SOP ownership over the first twelve months. Nice to Have Direct experience moving biophysical or analytical assays from manual workflows onto lab automation platforms (at least a handoff into an automated platform). High throughput experience in at least one core biophysical platform (SPR or BLI for binding kinetics), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC-SINS, cIEF, or CE-SDS). Experience developing novel high throughput technologies in DNA generation, cell expression (cell-free, mammalian), or bead-based purification. Method development and validation experience: defining acceptance criteria, references, and controls that other scientists have run successfully. SOP and protocol authorship that others have executed, and experience supervising at least one junior scientist or technician. Experience working with computational or AI/ML colleagues on closed-loop assay programmes. Background at an AI-native biotech or foundation-model company. Why this is unusual Most protein science roles like this inherit an established workflow and optimise it. This one. does not. No assay in this vertical is being retrofitted onto automation; every protocol is designed for AI-in-the-loop execution from the first manual run. The data each assay produces, its output structure, metadata, provenance, and consistency across runs, is treated as a first-class scientific constraint, because that data feeds directly into foundation-model training pipelines. Your decisions at the bench affect what the orchestrator has to do and what data leaves the building. Some scientists find this energising; others find it outside the lane they trained for. It is worth knowing in advance which one you are. How we work This is an in-person . click apply for full job details
Aug 20, 2026
Full time
Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. Location London Employment Type Full time Location Type On-site Department Research The opportunity Substrate is building the protein production cascade that turns a sequence into characterised, quality-controlled protein at scale, and you will build it from the first manual run. This is the work upstream of every protein data point Substrate generates: DNA design, molecular biology, protein expression, purification, and quality control, developed by hand and engineered to move onto automation. The data this cascade produces is the product. Substrate is the critical infrastructure layer between AI and biology, and biological foundation models can predict but cannot experiment; the high-quality, large-scale data they need does not exist yet. Your work at the bench is what brings it into existence. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict but cannot experiment, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are not a CRO and we are not a cloud lab. The company was founded by four co-founders and is funded through a combination of equity and debt. The first lab is in London, with a larger automation node to follow. The work starts with two scientific verticals, protein characterisation and functional genomics, and this role sits at the centre of the protein work. The role You will build the protein production cascade that sits upstream of molecular characterisation and functional assays: DNA design, molecular biology, protein expression, purification, and quality control through analytical characterisation. The cascade will eventually run autonomously on Substrate's automation platform. In the first phase, you develop each step by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each phase works before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. You will work directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution, at Scientist or Senior Scientist level, alongside Principal Scientists at the bench, and you will grow into protocol authorship over the first year. What you will do in your first twelve months Phase 0 - NOW to AUG 2026 Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. Get hands on the first priority protein production workflows as the day-one assay menu locks. Start building DNA design and production (linear DNA), protein expression (cell-free), and protein purification and QC at high throughput. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data-structure and metadata decisions that translate into automation design. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to the day-one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. Phase 1 - SEP to DEC 2026 Have a linear DNA, cell-free expression, purification, and QC workflow in a semi- automated state, running at the scale of hundreds to thousands per week and ready for full automation. Co-design protocols with the software and automation engineering teams so the manual versions you validate are automation-ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. Start building DNA design and production (plasmid DNA), protein expression (mammalian), and protein purification and QC at high throughput, again by hand on equipment that will move onto the platform. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to co-design conversations with the first commercial customers, including the foundation-model partners coming online from 2027. Phase 2 - JAN to MAR 2027 Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the assay menu to customers through manual and semi-automated services. Run real experiments for real customers. Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, running, andvalidating at the bench. You are comfortable in the details. You have hands-on experience with high throughput, plate-based methods across molecular biology, protein expression, purification, and QC. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands-on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non-biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. This role is open at Scientist and Senior Scientist level. The work is hands-on bench science at both, with collaboration into automation and software; the difference is depth of ownership, design authority, and how much of the team you help build. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. Must Have Comfortable handling DNA design and linear and plasmid DNA production at high throughput, expressing proteins, and purifying them with QC steps for validation, executing protocols at the bench through manual, semi-automated, and instrumented phases. Core experience within biologics. A track record of working alongside non-scientist colleagues (automation, software, computational) on a shared workflow. A PhD in protein biochemistry, molecular or structural biology, biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands-on experience; or a relevant science MSc with five or more years of equivalent bench experience in protein science. Independent, hands-on competence across protein science: molecular biology (DNA production with Gibson and Golden Gate assembly at transfection-grade quality), protein expression (cell-free, IVTT, E. coli and mammalian), and protein purification (automated magnetic-bead workflows), with exposure to at least one of these at high throughput (24, 96, and 384-well plate formats). Protein characterisation across at least two core biophysical methods (for example CE-SDS, DLS, nanoDSF/DSF, analytical SEC, HIC, or LC-MS intact mass analysis). Confident data analysis, including telling instrument artefacts apart from genuine molecule behaviour. Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous data infrastructure. Ready to grow into protocol authorship and SOP ownership over the first twelve months. Nice to Have Direct experience moving biophysical or analytical assays from manual workflows onto lab automation platforms (at least a handoff into an automated platform). High throughput experience in at least one core biophysical platform (SPR or BLI for binding kinetics), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC-SINS, cIEF, or CE-SDS). Experience developing novel high throughput technologies in DNA generation, cell expression (cell-free, mammalian), or bead-based purification. Method development and validation experience: defining acceptance criteria, references, and controls that other scientists have run successfully. SOP and protocol authorship that others have executed, and experience supervising at least one junior scientist or technician. Experience working with computational or AI/ML colleagues on closed-loop assay programmes. Background at an AI-native biotech or foundation-model company. Why this is unusual Most protein science roles like this inherit an established workflow and optimise it. This one. does not. No assay in this vertical is being retrofitted onto automation; every protocol is designed for AI-in-the-loop execution from the first manual run. The data each assay produces, its output structure, metadata, provenance, and consistency across runs, is treated as a first-class scientific constraint, because that data feeds directly into foundation-model training pipelines. Your decisions at the bench affect what the orchestrator has to do and what data leaves the building. Some scientists find this energising; others find it outside the lane they trained for. It is worth knowing in advance which one you are. How we work This is an in-person . click apply for full job details
Job Description: Your impact At Leonardo, you won't just be working on radar systems - you'll be helping to define what comes next. Join a team at the forefront of phased array radar technology, where innovation, expertise and ambition come together to shape capabilities that matter. We're seeking talented, driven and experienced Senior/Principal Microwave Engineers to become part of our growing hardware engineering community within our world class radar division. Based at our Edinburgh site, you'll collaborate with some of the brightest minds in the industry, turning cutting edge ideas into real world solutions. You will: Create high quality and robust MMIC designs using Gallium Nitride (GaN) or Gallium Arsenide (GaAs) semiconductor technologies. Perform circuit design including High Power Amplifiers, Low Noise Amplifiers, Attenuators, Phase Shifters, Switches, Oscillators etc. Prepare robust manufacturing data packs and provide technical support to sub-contracts and engineering interface with external foundries. Ensure design reviews are planned, executed and completed successfully. Conduct RF on wafer and "chip on board" testing of your designs including debugging, and performance verification to ensure the requirements are met. Collaborate with cross-disciplinary teams - mechanical, systems, test and manufacture - to ensure seamless integration of your MMIC designs into our larger systems. Mentor early career engineers and contribute to technical reviews and design standards. What you'll bring To excel in this role, you'll bring a strong command of RF circuit design, microwave engineering, and electromagnetic theory, paired with the problem solving mindset and attention to detail needed to tackle complex technical challenges. A curiosity for emerging technologies, enthusiasm for the defence and space sectors, and adaptability to new methods and tools will also help you thrive as part of our team. Qualifications: first or second degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferable) or related science (e.g. Physics) Proven experience (3 years +) in MMIC circuit design and a strong understanding of microwave techniques and electromagnetic theory. Proficiency in using commercial software tools for RF analysis /simulation such as Keysight ADS, AWR Microwave Office & CST Microwave Studio Hands-on experience in RF & Microwave measurement techniques such as Vector Network Analysis, Spectrum Analysis etc. Awareness of requirements management, ideally using tools such as IBM Doors. This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Edinburgh Additional Locations: GB - Newcastle Contract Type: Permanent Hybrid Working: Hybrid
Aug 20, 2026
Full time
Job Description: Your impact At Leonardo, you won't just be working on radar systems - you'll be helping to define what comes next. Join a team at the forefront of phased array radar technology, where innovation, expertise and ambition come together to shape capabilities that matter. We're seeking talented, driven and experienced Senior/Principal Microwave Engineers to become part of our growing hardware engineering community within our world class radar division. Based at our Edinburgh site, you'll collaborate with some of the brightest minds in the industry, turning cutting edge ideas into real world solutions. You will: Create high quality and robust MMIC designs using Gallium Nitride (GaN) or Gallium Arsenide (GaAs) semiconductor technologies. Perform circuit design including High Power Amplifiers, Low Noise Amplifiers, Attenuators, Phase Shifters, Switches, Oscillators etc. Prepare robust manufacturing data packs and provide technical support to sub-contracts and engineering interface with external foundries. Ensure design reviews are planned, executed and completed successfully. Conduct RF on wafer and "chip on board" testing of your designs including debugging, and performance verification to ensure the requirements are met. Collaborate with cross-disciplinary teams - mechanical, systems, test and manufacture - to ensure seamless integration of your MMIC designs into our larger systems. Mentor early career engineers and contribute to technical reviews and design standards. What you'll bring To excel in this role, you'll bring a strong command of RF circuit design, microwave engineering, and electromagnetic theory, paired with the problem solving mindset and attention to detail needed to tackle complex technical challenges. A curiosity for emerging technologies, enthusiasm for the defence and space sectors, and adaptability to new methods and tools will also help you thrive as part of our team. Qualifications: first or second degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferable) or related science (e.g. Physics) Proven experience (3 years +) in MMIC circuit design and a strong understanding of microwave techniques and electromagnetic theory. Proficiency in using commercial software tools for RF analysis /simulation such as Keysight ADS, AWR Microwave Office & CST Microwave Studio Hands-on experience in RF & Microwave measurement techniques such as Vector Network Analysis, Spectrum Analysis etc. Awareness of requirements management, ideally using tools such as IBM Doors. This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Edinburgh Additional Locations: GB - Newcastle Contract Type: Permanent Hybrid Working: Hybrid
Job Description Your Impact Are you an experienced Hardware Engineer that would like to aid in the delivery of high-performance hardware that forms part of our Surveillance RADAR systems? If so, we would love to hear from you. In this role, you will experience the full engineering lifecycle within Leonardo assisting with requirement and architecture definition and maturation, the design of new novel PCB level electronics and work with the wider project team to support integration and qualification of product What you'll bring Provide design of product within the Electronics Hardware discipline, to ensure successful delivery / transfer to production. Ensure engineering design is best practice by following Company and Engineering life cycle processes. Design engineering solutions taking into account all requirements such as product quality, safety, reliability and testability Create work package plans, advising on optimum team size/capability mix and reporting against the teams work programmes including analysis of risk Resolve routine and complex technical and delivery issues within engineering, related to defined work package assignments, and in accordance with local team engineering plans and processes. Communicate non-routine technical and delivery issues to by local engineering team or direct line management with resolution proposals. Support a culture of innovation within the local team, engineering discipline, and wider business that creates solutions to project and business problems. Promote a culture of best practice sharing and knowledge exploitation Contribute to local team and Engineering Unit decision making Participate in continuous improvement activities to develop skills and competencies within the individual's own engineering discipline and wider project. May supervise an Engineer or Senior Engineer Participate in self-development activities to improve Skills & Competencies in the specific engineering discipline and wider project The skills and experience we are looking for Higher education approved STEM qualification at degree level as a minimum or equivalent as recognised by professional accreditation schemes Circuit design (schematic capture) layout and simulation practitioner experience. Mixed signal knowledge using ADC/DAC, FPGA, SoC based design for high performance signal processing, communications and control. Integrating in-house designs with COTS modules (powersupplies, singleboard computers, RF interfaces) Analysing system level requirements documents and understanding their application to Hardware designs Good domain knowledge of high-speed serial communication links and knowledge of associated protocols and architectures, Power Supply Design and Analogue Design Hands on experience of Hardware, Firmware & Software Integration of Micro Processor Based designs onto hardware platforms is essential Debugging, testing and verification of new designs and supporting their commissioning and integration into the target system Ability to liaise with suppliers of key components and assemblies Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). Why join us Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. Primary Location GB - Edinburgh Additional Locations GB - Newcastle Contract Type Employee-Permanent Hybrid Working Hybrid
Aug 19, 2026
Full time
Job Description Your Impact Are you an experienced Hardware Engineer that would like to aid in the delivery of high-performance hardware that forms part of our Surveillance RADAR systems? If so, we would love to hear from you. In this role, you will experience the full engineering lifecycle within Leonardo assisting with requirement and architecture definition and maturation, the design of new novel PCB level electronics and work with the wider project team to support integration and qualification of product What you'll bring Provide design of product within the Electronics Hardware discipline, to ensure successful delivery / transfer to production. Ensure engineering design is best practice by following Company and Engineering life cycle processes. Design engineering solutions taking into account all requirements such as product quality, safety, reliability and testability Create work package plans, advising on optimum team size/capability mix and reporting against the teams work programmes including analysis of risk Resolve routine and complex technical and delivery issues within engineering, related to defined work package assignments, and in accordance with local team engineering plans and processes. Communicate non-routine technical and delivery issues to by local engineering team or direct line management with resolution proposals. Support a culture of innovation within the local team, engineering discipline, and wider business that creates solutions to project and business problems. Promote a culture of best practice sharing and knowledge exploitation Contribute to local team and Engineering Unit decision making Participate in continuous improvement activities to develop skills and competencies within the individual's own engineering discipline and wider project. May supervise an Engineer or Senior Engineer Participate in self-development activities to improve Skills & Competencies in the specific engineering discipline and wider project The skills and experience we are looking for Higher education approved STEM qualification at degree level as a minimum or equivalent as recognised by professional accreditation schemes Circuit design (schematic capture) layout and simulation practitioner experience. Mixed signal knowledge using ADC/DAC, FPGA, SoC based design for high performance signal processing, communications and control. Integrating in-house designs with COTS modules (powersupplies, singleboard computers, RF interfaces) Analysing system level requirements documents and understanding their application to Hardware designs Good domain knowledge of high-speed serial communication links and knowledge of associated protocols and architectures, Power Supply Design and Analogue Design Hands on experience of Hardware, Firmware & Software Integration of Micro Processor Based designs onto hardware platforms is essential Debugging, testing and verification of new designs and supporting their commissioning and integration into the target system Ability to liaise with suppliers of key components and assemblies Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). Why join us Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. Primary Location GB - Edinburgh Additional Locations GB - Newcastle Contract Type Employee-Permanent Hybrid Working Hybrid
