Staff Machine Learning Engineer Remote Salary 100,000- 200,000 (flexible) Hexwired Recruitment has partnered with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems. They're looking for a Technical Lead to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems. The Role This is a senior hands-on leadership position where you'll own the execution of the company's machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions. Responsibilities Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation. Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. Build and maintain high-quality data pipelines for both synthetic and real-world datasets. Develop robust evaluation frameworks covering model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage and inference performance for production deployments. Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products. Lead technical delivery, mentor engineers and help shape engineering best practices. Balance research ambitions with practical engineering trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern foundation models and large language models. Experience building scalable training and inference infrastructure. Excellent software engineering skills with a focus on maintainable, production-quality code. Comfortable leading technical delivery while remaining hands-on. Strong communication skills and the ability to collaborate across research, engineering and product teams. If you are an experienced Staff Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 200,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
10/07/2026
Full time
Staff Machine Learning Engineer Remote Salary 100,000- 200,000 (flexible) Hexwired Recruitment has partnered with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems. They're looking for a Technical Lead to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems. The Role This is a senior hands-on leadership position where you'll own the execution of the company's machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions. Responsibilities Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation. Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. Build and maintain high-quality data pipelines for both synthetic and real-world datasets. Develop robust evaluation frameworks covering model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage and inference performance for production deployments. Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products. Lead technical delivery, mentor engineers and help shape engineering best practices. Balance research ambitions with practical engineering trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern foundation models and large language models. Experience building scalable training and inference infrastructure. Excellent software engineering skills with a focus on maintainable, production-quality code. Comfortable leading technical delivery while remaining hands-on. Strong communication skills and the ability to collaborate across research, engineering and product teams. If you are an experienced Staff Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 200,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview This role is an exciting opportunity to join us and lead the reporting and analytics capability within the Continuous Threat Exposure Management (CTEM) function. The Continuous Threat Exposure Reporting Manager is responsible for developing, automating, and delivering high-quality reporting across vulnerability management, secure configuration and attack surface management domains. This role plays a pivotal part in enabling the organisation to understand its exposure, prioritise remediation activities, and drive risk reduction at scale through data-driven insights. This is a chance to shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you'll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. Produce reporting for operational teams, engineering teams and executive stakeholders. Consolidate and correlate data from multiple platforms to create a unified and prioritised exposure view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs and governance. Prepare reporting for senior management, both inside and outside of Global Cyber Security, on risk and exposure trends. What you'll bring Essential criteria: Experience in cyber security reporting, analytics or vulnerability management. Strong understanding of vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We ' re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
10/07/2026
Full time
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview This role is an exciting opportunity to join us and lead the reporting and analytics capability within the Continuous Threat Exposure Management (CTEM) function. The Continuous Threat Exposure Reporting Manager is responsible for developing, automating, and delivering high-quality reporting across vulnerability management, secure configuration and attack surface management domains. This role plays a pivotal part in enabling the organisation to understand its exposure, prioritise remediation activities, and drive risk reduction at scale through data-driven insights. This is a chance to shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you'll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. Produce reporting for operational teams, engineering teams and executive stakeholders. Consolidate and correlate data from multiple platforms to create a unified and prioritised exposure view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs and governance. Prepare reporting for senior management, both inside and outside of Global Cyber Security, on risk and exposure trends. What you'll bring Essential criteria: Experience in cyber security reporting, analytics or vulnerability management. Strong understanding of vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We ' re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore and Sydney. We have raised more than $500m in funding and are now valued at $2.7bn. Our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. At Thought Machine, our Senior Software Engineers specialised in Infrastructure play a crucial role in deploying and maintaining our cutting edge software, developing tools and integrations with third party infrastructure components used in our customers' environments. The role spans across building mechanisms to automate and streamline deployment processes, to facilitating infrastructure changes in the data and streaming platforms which support our products, among other things. We build automation to provide an intuitive and reliable user experience to operate and integrate with Vault for Thought Machine engineers and bank SREs. Duties Support the engineering team in building reliable, scalable applications Help design and build tools to make our services scalable and highly available, automating wherever possible Develop observability and orchestration tooling to allow our customers to monitor and manage their deployments Contribute to disaster recovery, backup and redundancy tooling and strategy Assist in improving the quality of our codebase by building new tools and processes Essential A degree in Computer Science, Engineering or a similar technical field 5+ years of hands on experience Experience developing production ready infrastructure management tooling with either Python or Golang Familiarity with at least one of the following: Observability Tools (e.g. Prometheus, OpenTelemetry, Grafana) Databases (e.g. Postgres, DuckDB) Event Streaming platforms (e.g. Kafka) Container Orchestration (e.g. Docker, Kubernetes) Familiarity with cloud platforms such as AWS, Azure or GCP Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions) Desirable Experience supporting production systems in high consistency transactional environments Benefits Highly competitive salary and commission Pension plan (match up to 5%) Life insurance (3x annual salary) Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid) Shared parental leave (matched to our maternity leave for the same point in time) 25 days holiday and bank holidays Flexible working hours Cycle to work scheme Electric car scheme Season ticket loan Access to outstanding learning materials and courses Sports and hobby clubs, subsidised by Thought Machine All the latest tech you need Start the day properly with fresh fruit and cereals Huge range of healthy (and not so healthy) snacks, smoothies and drinks A talented and experienced team as your colleagues An environment where we encourage learning and progress Two charity days a year Weekly food pop up We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.
10/07/2026
Full time
Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore and Sydney. We have raised more than $500m in funding and are now valued at $2.7bn. Our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. At Thought Machine, our Senior Software Engineers specialised in Infrastructure play a crucial role in deploying and maintaining our cutting edge software, developing tools and integrations with third party infrastructure components used in our customers' environments. The role spans across building mechanisms to automate and streamline deployment processes, to facilitating infrastructure changes in the data and streaming platforms which support our products, among other things. We build automation to provide an intuitive and reliable user experience to operate and integrate with Vault for Thought Machine engineers and bank SREs. Duties Support the engineering team in building reliable, scalable applications Help design and build tools to make our services scalable and highly available, automating wherever possible Develop observability and orchestration tooling to allow our customers to monitor and manage their deployments Contribute to disaster recovery, backup and redundancy tooling and strategy Assist in improving the quality of our codebase by building new tools and processes Essential A degree in Computer Science, Engineering or a similar technical field 5+ years of hands on experience Experience developing production ready infrastructure management tooling with either Python or Golang Familiarity with at least one of the following: Observability Tools (e.g. Prometheus, OpenTelemetry, Grafana) Databases (e.g. Postgres, DuckDB) Event Streaming platforms (e.g. Kafka) Container Orchestration (e.g. Docker, Kubernetes) Familiarity with cloud platforms such as AWS, Azure or GCP Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions) Desirable Experience supporting production systems in high consistency transactional environments Benefits Highly competitive salary and commission Pension plan (match up to 5%) Life insurance (3x annual salary) Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid) Shared parental leave (matched to our maternity leave for the same point in time) 25 days holiday and bank holidays Flexible working hours Cycle to work scheme Electric car scheme Season ticket loan Access to outstanding learning materials and courses Sports and hobby clubs, subsidised by Thought Machine All the latest tech you need Start the day properly with fresh fruit and cereals Huge range of healthy (and not so healthy) snacks, smoothies and drinks A talented and experienced team as your colleagues An environment where we encourage learning and progress Two charity days a year Weekly food pop up We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.
Deerfoot Recruitment Solutions Limited
City, London
Senior AI Engineer - Consulting Office location to choose from: Glasgow, London or Manchester Hybrid Working - 1-2 days per week in the office £70,000 + Benefits, Training & Bonus Package Full Time | Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant/Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design, build and scale enterprise-grade AI, Machine Learning and Generative AI solutions. The successful candidate will play a key role in bridging the gap between AI experimentation and real-world business adoption, delivering robust, scalable and responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: . Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring . Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks . Implementing MLOps frameworks, governance and best practices . Translating business requirements into cloud-native AI and data architectures across Azure, AWS and GCP . Collaborating with technical and non-technical stakeholders to deliver measurable business value . Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: . Experience working in a major Consulting firm, and/or in industry . A strong consulting mindset with experience engaging senior stakeholders . Proven experience designing and delivering AI/ML solutions at scale . Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks . Experience with at least one major cloud platform including Azure, AWS or GCP You need to have resided in the UK for the last 5 years to be able to apply for this role. This is an excellent opportunity to join a forward-thinking consultancy delivering innovative AI solutions for major enterprise clients, while benefiting from strong career progression, flexible hybrid working and an excellent package. Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/ AI Engineering Consultant/ Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant/Cloud AI Engineer/Applied AI Engineer Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
10/07/2026
Full time
Senior AI Engineer - Consulting Office location to choose from: Glasgow, London or Manchester Hybrid Working - 1-2 days per week in the office £70,000 + Benefits, Training & Bonus Package Full Time | Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant/Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design, build and scale enterprise-grade AI, Machine Learning and Generative AI solutions. The successful candidate will play a key role in bridging the gap between AI experimentation and real-world business adoption, delivering robust, scalable and responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: . Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring . Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks . Implementing MLOps frameworks, governance and best practices . Translating business requirements into cloud-native AI and data architectures across Azure, AWS and GCP . Collaborating with technical and non-technical stakeholders to deliver measurable business value . Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: . Experience working in a major Consulting firm, and/or in industry . A strong consulting mindset with experience engaging senior stakeholders . Proven experience designing and delivering AI/ML solutions at scale . Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks . Experience with at least one major cloud platform including Azure, AWS or GCP You need to have resided in the UK for the last 5 years to be able to apply for this role. This is an excellent opportunity to join a forward-thinking consultancy delivering innovative AI solutions for major enterprise clients, while benefiting from strong career progression, flexible hybrid working and an excellent package. Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/ AI Engineering Consultant/ Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant/Cloud AI Engineer/Applied AI Engineer Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior Software Engineer Birmingham (Hybrid) Permanent Full-Time Competitive Salary A growing technology business is seeking a Software Engineer to join its engineering team in Birmingham. This is an excellent opportunity for a developer with strong AWS and backend engineering experience who wants exposure to cloud-native systems, IoT integrations, frontend development, DevOps, and AI-powered applications . Key Responsibilities Design, develop, and maintain AWS-based backend microservices Build frontend applications using React and TypeScript Work on IoT integrations including connected edge devices Develop infrastructure using AWS CDK / Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI / LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript, Node.js, Python, Go Cloud: AWS Lambda, API Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/CD and Docker experience Full-stack engineering mindset Strong communication skills Desirable Skills React / TypeScript frontend experience Infrastructure as Code GraphQL / AppSync Event-driven architectures IoT / edge systems AI / machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team environment Competitive salary
10/07/2026
Full time
Senior Software Engineer Birmingham (Hybrid) Permanent Full-Time Competitive Salary A growing technology business is seeking a Software Engineer to join its engineering team in Birmingham. This is an excellent opportunity for a developer with strong AWS and backend engineering experience who wants exposure to cloud-native systems, IoT integrations, frontend development, DevOps, and AI-powered applications . Key Responsibilities Design, develop, and maintain AWS-based backend microservices Build frontend applications using React and TypeScript Work on IoT integrations including connected edge devices Develop infrastructure using AWS CDK / Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI / LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript, Node.js, Python, Go Cloud: AWS Lambda, API Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/CD and Docker experience Full-stack engineering mindset Strong communication skills Desirable Skills React / TypeScript frontend experience Infrastructure as Code GraphQL / AppSync Event-driven architectures IoT / edge systems AI / machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team environment Competitive salary
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview This role is an exciting opportunity to join us and lead the reporting and analytics capability within the Continuous Threat Exposure Management (CTEM) function. The Continuous Threat Exposure Reporting Manager is responsible for developing, automating, and delivering high-quality reporting across vulnerability management, secure configuration and attack surface management domains. This role plays a pivotal part in enabling the organisation to understand its exposure, prioritise remediation activities, and drive risk reduction at scale through data-driven insights. This is a chance to shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you'll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. Produce reporting for operational teams, engineering teams and executive stakeholders. Consolidate and correlate data from multiple platforms to create a unified and prioritised exposure view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs and governance. Prepare reporting for senior management, both inside and outside of Global Cyber Security, on risk and exposure trends. What you'll bring Essential criteria: Experience in cyber security reporting, analytics or vulnerability management. Strong understanding of vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We ' re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
10/07/2026
Full time
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview This role is an exciting opportunity to join us and lead the reporting and analytics capability within the Continuous Threat Exposure Management (CTEM) function. The Continuous Threat Exposure Reporting Manager is responsible for developing, automating, and delivering high-quality reporting across vulnerability management, secure configuration and attack surface management domains. This role plays a pivotal part in enabling the organisation to understand its exposure, prioritise remediation activities, and drive risk reduction at scale through data-driven insights. This is a chance to shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you'll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. Produce reporting for operational teams, engineering teams and executive stakeholders. Consolidate and correlate data from multiple platforms to create a unified and prioritised exposure view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs and governance. Prepare reporting for senior management, both inside and outside of Global Cyber Security, on risk and exposure trends. What you'll bring Essential criteria: Experience in cyber security reporting, analytics or vulnerability management. Strong understanding of vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We ' re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
Citibank (Switzerland) AG is seeking a Senior Software Engineer (SVP) based in London. This role involves hands-on design and implementation of the STIRT platform, where you'll engage deeply with traders and manage a talented global engineering team. You'll drive technology evolution with a strong focus on integrating AI and machine learning capabilities. The ideal candidate has extensive experience in trading systems, Java proficiency, and stakeholder management skills. Benefits include 27 days of annual leave, private medical care, and a performance-related bonus.
10/07/2026
Full time
Citibank (Switzerland) AG is seeking a Senior Software Engineer (SVP) based in London. This role involves hands-on design and implementation of the STIRT platform, where you'll engage deeply with traders and manage a talented global engineering team. You'll drive technology evolution with a strong focus on integrating AI and machine learning capabilities. The ideal candidate has extensive experience in trading systems, Java proficiency, and stakeholder management skills. Benefits include 27 days of annual leave, private medical care, and a performance-related bonus.
FX STIRT Technology - Senior Software Engineer (SVP)Applyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: FX Client & Sales Technology - Senior Software Engineer (SVP) The STIRT Engineering Lead is a London-based Senior Vice President responsible for the hands-on design, architecture, and implementation of the full front-to-back technology platform supporting the STIRT business. This role sits at the intersection of engineering excellence and business partnership, requiring deep engagement with traders, quants, and stakeholders across FX and Rates desks.The role demands a technically deep, hands-on engineering leader with strong expertise in capital markets systems, responsible for driving the strategic evolution of STIRT technology - spanning curve construction, RFQ and pricing workflows (for FX and Interest Rate Derivatives) - while managing a globally distributed engineering team. The successful candidate will own the end-to-end technology vision for STIRT, eliminating fragmentation across trading units and delivering a modern, high-performance, resilient platform that enables traders to operate with speed, precision, and confidence. Central to this vision is the active adoption and integration of AI and machine learning capabilities to augment trader workflows, accelerate engineering productivity, and unlock new analytical possibilities across the STIRT business. About Citi As the world's most global bank, Citi gives you the tools to be a trailblazer. We're not just building technology; we're building the future of banking. With thousands of employees located around the globe, we are an international team encompassing a broad range of teams, roles, and cultures, and we invite you to come and join us!Citi's technology team supports business operations in 100+ countries, across multiple lines of business spanning both Institutional and retail businesses.The group works to optimize the IT environment by standardizing production platforms, reducing complexity, and introducing innovative solutions that provide new business capabilities, reduce total cost of ownership, and create a competitive advantage for Citi.We want to regularly engage with talented individuals who are passionate about producing clean, testable code as part of a high performing team. We have found this to be way more important than experience in the financial sector.We welcome applications from any industry and should you wish to apply your application will be reviewed for a multitude of Developer positions at varying levels. About FX Tech Citi FX has a physical presence in 83 countries with 1,400 dedicated staff giving us the largest FX presence of any bank globally. Foreign Exchange has been one of the defining businesses of Citi for much of its 200 year existence.Citi has the largest FX presence of any bank globally and we proudly put this down to delivering unrivalled service and insight to our clients. Increasing investment in technology has seen us roll out award winning applications. Technology is a central pillar for our plans to sustain and grow our FX business.Above all, we seek individuals who seek exceptional attitude and aptitude in the people they work with and have a demonstrated passion for delivering FX technology in support of our FX business. Role Overview/What will you do: Trader Engagement & Stakeholder Management Serve as the primary technology partner for STIRT traders , building trusted relationships and acting as the first point of contact for all technology needs across FX and Rates desks Conduct regular structured engagement sessions with traders to capture workflow pain points, prioritise enhancements, and translate business requirements into actionable engineering deliverables Partner with Desk Heads, Quants, Sales, Operations, and Risk to ensure technology solutions are aligned with front-to-back business objectives Communicate technical strategy, delivery progress, and risk in clear, business-relevant terms to senior stakeholders including Trading Management and Technology leadership Represent STIRT Technology in cross-functional forums, governance committees, and strategic planning sessions Develop and maintain a comprehensive understanding of the full STIRT front-to-back workflow Strategic Architecture & Design Define and own the target-state technical architecture for the STIRT platform, covering all components from market data ingestion through to trade booking and risk reporting Lead architectural decisions on system decomposition, data flow design, API contracts, event-driven patterns, and integration with upstream/downstream systems Drive the modernisation and consolidation of legacy STIRT systems, establishing a clear migration roadmap that minimises disruption to live trading Evaluate and govern technical trade-offs across build vs. buy, latency vs. throughput, consistency vs. availability, and monolith vs. microservices dimensions Ensure the architecture meets both functional requirements (pricing accuracy, workflow completeness, feature richness) and non-functional requirements (latency, throughput, resilience, observability, security, and regulatory compliance) AI Tools Usage & Adoption Champion the strategic adoption of AI and Generative AI tools across the STIRT engineering organisation, identifying high-value use cases that meaningfully improve trader workflows, engineering productivity, and analytical capabilities Drive the evaluation, piloting, and scaled deployment of AI-assisted development tools (e.g., code generation, automated code review, test generation) to accelerate delivery velocity and improve code quality across the team Actively participate in hands-on development , including writing, reviewing, and architecting production-grade code for high-performance, low-latency trading systems Team Leadership & Delivery Manage and mentor a globally distributed team of engineers Conduct performance evaluations, support career development, and lead hiring and disciplinary processes Integrate in-depth knowledge of applications development with the broader Technology function to achieve established goals Key Skills and Experience required Experience Extensive experience in software engineering within capital markets or financial services, with significant hands-on development experience in high-performance, distributed systems Proven hands-on expertise in building low-latency, high-throughput trading systems - capable of writing, reviewing, and debugging production code alongside the team Deep domain knowledge of markets businesses - including Short-Term Interest Rates, FX, or broader FX and Rates/Credit markets - with a strong understanding of curve construction, RFQ/pricing workflows, and electronic trading Proven track record of defining and delivering strategic architecture for large-scale, mission-critical financial platforms, including system modernisation and legacy decommissioning programmes Experience managing and mentoring global engineering teams across multiple time zones Strong background in stakeholder management and trader engagement , with the ability to translate complex technical concepts into business-relevant language Demonstrable experience evaluating, adopting, or delivering AI/ML capabilities within a financial services or trading technology context, including familiarity with model governance and responsible AI practices Technical Skills Strong proficiency in Java - including core Java (JVM internals, concurrency, memory management), modern frameworks (Spring Boot), and experience building low-latency, high-throughput applications Proven system design and architecture skills - including large-scale distributed systems, microservices, event-driven architectures, and real-time data pipelines (e.g., Solace, KDB, in-memory data grids such as Couchbase) Market data and pricing systems - experience with real-time market data feeds, curve construction engines, and pricing libraries AI/ML tooling and frameworks - working knowledge of LLM APIs, agentic frameworks, ML inference pipelines, and AI-assisted development tools (e.g., GitHub Copilot, Devin or Claude Code, or equivalent); experience integrating AI capabilities into production systems is strongly preferred Familiarity with CI/CD pipelines, DevOps practices, cloud-native technologies , and containerisation (Docker/Kubernetes) Working knowledge of observability tooling - distributed tracing, metrics, and log aggregation (e.g., Prometheus, Grafana, Splunk, OpenTelemetry) Leadership & Communication Demonstrated ability to remain hands-on as a technical leader - capable of diving into code, debugging production issues, and driving architectural decisions alongside the team Strong stakeholder management skills - experienced in influencing and negotiating with senior leaders across Technology and the Business A growth mindset towards AI - actively curious about emerging AI capabilities and able to inspire the same curiosity and rigour in the broader engineering teamThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesVisit our About Us Culture, Values & Benefits page to learn more . click apply for full job details
10/07/2026
Full time
FX STIRT Technology - Senior Software Engineer (SVP)Applyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: FX Client & Sales Technology - Senior Software Engineer (SVP) The STIRT Engineering Lead is a London-based Senior Vice President responsible for the hands-on design, architecture, and implementation of the full front-to-back technology platform supporting the STIRT business. This role sits at the intersection of engineering excellence and business partnership, requiring deep engagement with traders, quants, and stakeholders across FX and Rates desks.The role demands a technically deep, hands-on engineering leader with strong expertise in capital markets systems, responsible for driving the strategic evolution of STIRT technology - spanning curve construction, RFQ and pricing workflows (for FX and Interest Rate Derivatives) - while managing a globally distributed engineering team. The successful candidate will own the end-to-end technology vision for STIRT, eliminating fragmentation across trading units and delivering a modern, high-performance, resilient platform that enables traders to operate with speed, precision, and confidence. Central to this vision is the active adoption and integration of AI and machine learning capabilities to augment trader workflows, accelerate engineering productivity, and unlock new analytical possibilities across the STIRT business. About Citi As the world's most global bank, Citi gives you the tools to be a trailblazer. We're not just building technology; we're building the future of banking. With thousands of employees located around the globe, we are an international team encompassing a broad range of teams, roles, and cultures, and we invite you to come and join us!Citi's technology team supports business operations in 100+ countries, across multiple lines of business spanning both Institutional and retail businesses.The group works to optimize the IT environment by standardizing production platforms, reducing complexity, and introducing innovative solutions that provide new business capabilities, reduce total cost of ownership, and create a competitive advantage for Citi.We want to regularly engage with talented individuals who are passionate about producing clean, testable code as part of a high performing team. We have found this to be way more important than experience in the financial sector.We welcome applications from any industry and should you wish to apply your application will be reviewed for a multitude of Developer positions at varying levels. About FX Tech Citi FX has a physical presence in 83 countries with 1,400 dedicated staff giving us the largest FX presence of any bank globally. Foreign Exchange has been one of the defining businesses of Citi for much of its 200 year existence.Citi has the largest FX presence of any bank globally and we proudly put this down to delivering unrivalled service and insight to our clients. Increasing investment in technology has seen us roll out award winning applications. Technology is a central pillar for our plans to sustain and grow our FX business.Above all, we seek individuals who seek exceptional attitude and aptitude in the people they work with and have a demonstrated passion for delivering FX technology in support of our FX business. Role Overview/What will you do: Trader Engagement & Stakeholder Management Serve as the primary technology partner for STIRT traders , building trusted relationships and acting as the first point of contact for all technology needs across FX and Rates desks Conduct regular structured engagement sessions with traders to capture workflow pain points, prioritise enhancements, and translate business requirements into actionable engineering deliverables Partner with Desk Heads, Quants, Sales, Operations, and Risk to ensure technology solutions are aligned with front-to-back business objectives Communicate technical strategy, delivery progress, and risk in clear, business-relevant terms to senior stakeholders including Trading Management and Technology leadership Represent STIRT Technology in cross-functional forums, governance committees, and strategic planning sessions Develop and maintain a comprehensive understanding of the full STIRT front-to-back workflow Strategic Architecture & Design Define and own the target-state technical architecture for the STIRT platform, covering all components from market data ingestion through to trade booking and risk reporting Lead architectural decisions on system decomposition, data flow design, API contracts, event-driven patterns, and integration with upstream/downstream systems Drive the modernisation and consolidation of legacy STIRT systems, establishing a clear migration roadmap that minimises disruption to live trading Evaluate and govern technical trade-offs across build vs. buy, latency vs. throughput, consistency vs. availability, and monolith vs. microservices dimensions Ensure the architecture meets both functional requirements (pricing accuracy, workflow completeness, feature richness) and non-functional requirements (latency, throughput, resilience, observability, security, and regulatory compliance) AI Tools Usage & Adoption Champion the strategic adoption of AI and Generative AI tools across the STIRT engineering organisation, identifying high-value use cases that meaningfully improve trader workflows, engineering productivity, and analytical capabilities Drive the evaluation, piloting, and scaled deployment of AI-assisted development tools (e.g., code generation, automated code review, test generation) to accelerate delivery velocity and improve code quality across the team Actively participate in hands-on development , including writing, reviewing, and architecting production-grade code for high-performance, low-latency trading systems Team Leadership & Delivery Manage and mentor a globally distributed team of engineers Conduct performance evaluations, support career development, and lead hiring and disciplinary processes Integrate in-depth knowledge of applications development with the broader Technology function to achieve established goals Key Skills and Experience required Experience Extensive experience in software engineering within capital markets or financial services, with significant hands-on development experience in high-performance, distributed systems Proven hands-on expertise in building low-latency, high-throughput trading systems - capable of writing, reviewing, and debugging production code alongside the team Deep domain knowledge of markets businesses - including Short-Term Interest Rates, FX, or broader FX and Rates/Credit markets - with a strong understanding of curve construction, RFQ/pricing workflows, and electronic trading Proven track record of defining and delivering strategic architecture for large-scale, mission-critical financial platforms, including system modernisation and legacy decommissioning programmes Experience managing and mentoring global engineering teams across multiple time zones Strong background in stakeholder management and trader engagement , with the ability to translate complex technical concepts into business-relevant language Demonstrable experience evaluating, adopting, or delivering AI/ML capabilities within a financial services or trading technology context, including familiarity with model governance and responsible AI practices Technical Skills Strong proficiency in Java - including core Java (JVM internals, concurrency, memory management), modern frameworks (Spring Boot), and experience building low-latency, high-throughput applications Proven system design and architecture skills - including large-scale distributed systems, microservices, event-driven architectures, and real-time data pipelines (e.g., Solace, KDB, in-memory data grids such as Couchbase) Market data and pricing systems - experience with real-time market data feeds, curve construction engines, and pricing libraries AI/ML tooling and frameworks - working knowledge of LLM APIs, agentic frameworks, ML inference pipelines, and AI-assisted development tools (e.g., GitHub Copilot, Devin or Claude Code, or equivalent); experience integrating AI capabilities into production systems is strongly preferred Familiarity with CI/CD pipelines, DevOps practices, cloud-native technologies , and containerisation (Docker/Kubernetes) Working knowledge of observability tooling - distributed tracing, metrics, and log aggregation (e.g., Prometheus, Grafana, Splunk, OpenTelemetry) Leadership & Communication Demonstrated ability to remain hands-on as a technical leader - capable of diving into code, debugging production issues, and driving architectural decisions alongside the team Strong stakeholder management skills - experienced in influencing and negotiating with senior leaders across Technology and the Business A growth mindset towards AI - actively curious about emerging AI capabilities and able to inspire the same curiosity and rigour in the broader engineering teamThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesVisit our About Us Culture, Values & Benefits page to learn more . click apply for full job details
FX Client & Sales Technology - Senior Software Engineer (SVP) The STIRT Engineering Lead is a London-based Senior Vice President responsible for hands on design, architecture, and implementation of the full front to back technology platform supporting the STIRT business. This role sits at the intersection of engineering excellence and business partnership, requiring deep engagement with traders, quants, and stakeholders across FX and Rates desks. The role demands a technically deep, hands on engineering leader with strong expertise in capital markets systems, responsible for driving the strategic evolution of STIRT technology - spanning curve construction, RFQ and pricing workflows (for FX and Interest Rate Derivatives) - while managing a globally distributed engineering team. The successful candidate will own the end to end technology vision for STIRT, eliminating fragmentation across trading units and delivering a modern, high performance, resilient platform that enables traders to operate with speed, precision, and confidence. Central to this vision is active adoption and integration of AI and machine learning capabilities to augment trader workflows, accelerate engineering productivity, and unlock new analytical possibilities across the STIRT business. Role Overview / What will you do Trader Engagement & Stakeholder Management Serve as the primary technology partner for STIRT traders, building trusted relationships and acting as the first point of contact for all technology needs across FX and Rates desks Conduct regular structured engagement sessions with traders to capture workflow pain points, prioritise enhancements, and translate business requirements into actionable engineering deliverables Partner with Desk Heads, Quants, Sales, Operations, and Risk to ensure technology solutions are aligned with front to back business objectives Communicate technical strategy, delivery progress, and risk in clear, business relevant terms to senior stakeholders including Trading Management and Technology leadership Represent STIRT Technology in cross functional forums, governance committees, and strategic planning sessions Develop and maintain a comprehensive understanding of the full STIRT front to back workflow Strategic Architecture & Design Define and own the target state technical architecture for the STIRT platform, covering all components from market data ingestion through to trade booking and risk reporting Lead architectural decisions on system decomposition, data flow design, API contracts, event driven patterns, and integration with upstream/downstream systems Drive the modernisation and consolidation of legacy STIRT systems, establishing a clear migration roadmap that minimises disruption to live trading Evaluate and govern technical trade offs across build vs. buy, latency vs. throughput, consistency vs. availability, and monolith vs. microservices dimensions Ensure the architecture meets both functional requirements (pricing accuracy, workflow completeness, feature richness) and non functional requirements (latency, throughput, resilience, observability, security, and regulatory compliance) AI Tools Usage & Adoption Champion the strategic adoption of AI and Generative AI tools across the STIRT engineering organisation, identifying high value use cases that meaningfully improve trader workflows, engineering productivity, and analytical capabilities Drive the evaluation, piloting, and scaled deployment of AI assisted development tools (e.g., code generation, automated code review, test generation) to accelerate delivery velocity and improve code quality across the team Actively participate in hands on development, including writing, reviewing, and architecting production grade code for high performance, low latency trading systems Team Leadership & Delivery Manage and mentor a globally distributed team of engineers Conduct performance evaluations, support career development, and lead hiring and disciplinary processes Integrate in depth knowledge of applications development with the broader Technology function to achieve established goals Key Skills and Experience required Experience Extensive experience in software engineering within capital markets or financial services, with significant hands on development experience in high performance, distributed systems Proven hands on expertise in building low latency, high throughput trading systems - capable of writing, reviewing, and debugging production code alongside the team Deep domain knowledge of markets businesses - including Short Term Interest Rates, FX, or broader FX and Rates/Credit markets - with a strong understanding of curve construction, RFQ/pricing workflows, and electronic trading Proven track record of defining and delivering strategic architecture for large scale, mission critical financial platforms, including system modernisation and legacy de commissioning programmes Experience managing and mentoring global engineering teams across multiple time zones Strong background in stakeholder management and trader engagement, with the ability to translate complex technical concepts into business relevant language Demonstrable experience evaluating, adopting, or delivering AI/ML capabilities within a financial services or trading technology context, including familiarity with model governance and responsible AI practices Technical Skills Strong proficiency in Java - including core Java (JVM internals, concurrency, memory management), modern frameworks (Spring Boot), and experience building low latency, high throughput applications Proven system design and architecture skills - including large scale distributed systems, microservices, event driven architectures, and real time data pipelines (e.g., Solace, KDB, in memory data grids such as Couchbase) Market data and pricing systems - experience with real time market data feeds, curve construction engines, and pricing libraries AI/ML tooling and frameworks - working knowledge of LLM APIs, agentic frameworks, ML inference pipelines, and AI assisted development tools (e.g., GitHub Copilot, DeeWin or Claude Code, or equivalent); experience integrating AI capabilities into production systems is strongly preferred Familiarity with CI/CD pipelines, DevOps practices, cloud native technologies, and containerisation (Docker/Kubernetes) Working knowledge of observability tooling - distributed tracing, metrics, and log aggregation (e.g., Prometheus, Grafana, Splunk, OpenTelemetry) Leadership & Communication Demonstrated ability to remain hands on as a technical leader - capable of diving into code, debugging production issues, and driving architectural decisions alongside the team Strong stakeholder management skills - experienced in influencing and negotiating with senior leaders across Technology and the Business A growth mindset towards AI - actively curious about emerging AI capabilities and able to inspire the same curiosity and rigour in the broader engineering team This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. What we'll provide you 27 days annual leave (plus bank holidays) An annual performance related bonus Private medical care and life insurance Employee assistance program Pension plan Paid parental leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
10/07/2026
Full time
FX Client & Sales Technology - Senior Software Engineer (SVP) The STIRT Engineering Lead is a London-based Senior Vice President responsible for hands on design, architecture, and implementation of the full front to back technology platform supporting the STIRT business. This role sits at the intersection of engineering excellence and business partnership, requiring deep engagement with traders, quants, and stakeholders across FX and Rates desks. The role demands a technically deep, hands on engineering leader with strong expertise in capital markets systems, responsible for driving the strategic evolution of STIRT technology - spanning curve construction, RFQ and pricing workflows (for FX and Interest Rate Derivatives) - while managing a globally distributed engineering team. The successful candidate will own the end to end technology vision for STIRT, eliminating fragmentation across trading units and delivering a modern, high performance, resilient platform that enables traders to operate with speed, precision, and confidence. Central to this vision is active adoption and integration of AI and machine learning capabilities to augment trader workflows, accelerate engineering productivity, and unlock new analytical possibilities across the STIRT business. Role Overview / What will you do Trader Engagement & Stakeholder Management Serve as the primary technology partner for STIRT traders, building trusted relationships and acting as the first point of contact for all technology needs across FX and Rates desks Conduct regular structured engagement sessions with traders to capture workflow pain points, prioritise enhancements, and translate business requirements into actionable engineering deliverables Partner with Desk Heads, Quants, Sales, Operations, and Risk to ensure technology solutions are aligned with front to back business objectives Communicate technical strategy, delivery progress, and risk in clear, business relevant terms to senior stakeholders including Trading Management and Technology leadership Represent STIRT Technology in cross functional forums, governance committees, and strategic planning sessions Develop and maintain a comprehensive understanding of the full STIRT front to back workflow Strategic Architecture & Design Define and own the target state technical architecture for the STIRT platform, covering all components from market data ingestion through to trade booking and risk reporting Lead architectural decisions on system decomposition, data flow design, API contracts, event driven patterns, and integration with upstream/downstream systems Drive the modernisation and consolidation of legacy STIRT systems, establishing a clear migration roadmap that minimises disruption to live trading Evaluate and govern technical trade offs across build vs. buy, latency vs. throughput, consistency vs. availability, and monolith vs. microservices dimensions Ensure the architecture meets both functional requirements (pricing accuracy, workflow completeness, feature richness) and non functional requirements (latency, throughput, resilience, observability, security, and regulatory compliance) AI Tools Usage & Adoption Champion the strategic adoption of AI and Generative AI tools across the STIRT engineering organisation, identifying high value use cases that meaningfully improve trader workflows, engineering productivity, and analytical capabilities Drive the evaluation, piloting, and scaled deployment of AI assisted development tools (e.g., code generation, automated code review, test generation) to accelerate delivery velocity and improve code quality across the team Actively participate in hands on development, including writing, reviewing, and architecting production grade code for high performance, low latency trading systems Team Leadership & Delivery Manage and mentor a globally distributed team of engineers Conduct performance evaluations, support career development, and lead hiring and disciplinary processes Integrate in depth knowledge of applications development with the broader Technology function to achieve established goals Key Skills and Experience required Experience Extensive experience in software engineering within capital markets or financial services, with significant hands on development experience in high performance, distributed systems Proven hands on expertise in building low latency, high throughput trading systems - capable of writing, reviewing, and debugging production code alongside the team Deep domain knowledge of markets businesses - including Short Term Interest Rates, FX, or broader FX and Rates/Credit markets - with a strong understanding of curve construction, RFQ/pricing workflows, and electronic trading Proven track record of defining and delivering strategic architecture for large scale, mission critical financial platforms, including system modernisation and legacy de commissioning programmes Experience managing and mentoring global engineering teams across multiple time zones Strong background in stakeholder management and trader engagement, with the ability to translate complex technical concepts into business relevant language Demonstrable experience evaluating, adopting, or delivering AI/ML capabilities within a financial services or trading technology context, including familiarity with model governance and responsible AI practices Technical Skills Strong proficiency in Java - including core Java (JVM internals, concurrency, memory management), modern frameworks (Spring Boot), and experience building low latency, high throughput applications Proven system design and architecture skills - including large scale distributed systems, microservices, event driven architectures, and real time data pipelines (e.g., Solace, KDB, in memory data grids such as Couchbase) Market data and pricing systems - experience with real time market data feeds, curve construction engines, and pricing libraries AI/ML tooling and frameworks - working knowledge of LLM APIs, agentic frameworks, ML inference pipelines, and AI assisted development tools (e.g., GitHub Copilot, DeeWin or Claude Code, or equivalent); experience integrating AI capabilities into production systems is strongly preferred Familiarity with CI/CD pipelines, DevOps practices, cloud native technologies, and containerisation (Docker/Kubernetes) Working knowledge of observability tooling - distributed tracing, metrics, and log aggregation (e.g., Prometheus, Grafana, Splunk, OpenTelemetry) Leadership & Communication Demonstrated ability to remain hands on as a technical leader - capable of diving into code, debugging production issues, and driving architectural decisions alongside the team Strong stakeholder management skills - experienced in influencing and negotiating with senior leaders across Technology and the Business A growth mindset towards AI - actively curious about emerging AI capabilities and able to inspire the same curiosity and rigour in the broader engineering team This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. What we'll provide you 27 days annual leave (plus bank holidays) An annual performance related bonus Private medical care and life insurance Employee assistance program Pension plan Paid parental leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Your roleWhat you'll be doingVP AI & Data PlatformsWhat We NeedCorpay is currently looking to hire a VP AI & Data Platforms within our IVP Commercial team. This position falls under our International Vehicle Payments (IVP) line of business and is located in London, Victoria.You will lead our internal AI, data science and data engineering capabilities across our Europe & Rest of World fleet business unit. This is a senior leadership role focused on turning AI and data into tangible business outcomes - driving growth, improving customer retention, optimising operations and enabling smarter decision-making across the organisation.In this pivotal role you will sit at the intersection of business and technology, working closely with commercial, operational and functional leaders to identify opportunities, deliver impactful solutions and scale AI adoption across the companyYou will report directly to our Chief Commercial Officer, IVP and regularly collaborate with the wider Strategy team, IVP business leaders and supporting teams across Europe and the UK.How We WorkAs a VP AI & Data Platforms , you will be expected to work in an office environment. Corpay will set you up for success by providing:Assigned workspace in Vincent Square, London (Victoria)Company-issued equipmentFormal, hands-on training. Support for you to complete professional certifications.Collaborative and supportive leadershipRole ResponsibilitiesThis is a unique opportunity to shape and scale AI within a global, high-growth business, working directly with senior leadership to embed AI into how the organisation operates day-to-day. You'll have the platform to build, lead and deliver meaningful change - turning data and AI into a core driver of business performance.What you will be delivering;Lead AI & Data StrategyDefine and execute a clear AI and data strategy aligned to business priorities, with a focus on revenue growth, customer retention, operational efficiency and productivity.Identify, prioritise and build a portfolio of high-impact AI and data initiatives.Deliver Business ImpactOwn the end-to-end lifecycle of AI initiatives - from ideation and business case through to delivery, adoption and measurable results.Ensure solutions are embedded into business processes and drive real, sustained impact.Build & Scale Data PlatformsOversee data science, machine learning and data engineering teams to build scalable, reliable and high-quality data and AI platforms.Drive best practices in data architecture, model development, deployment and lifecycle management.Partner Across the BusinessWork closely with Sales, Operations, Finance, Credit, Marketing and Technology teams to translate business needs into data and AI solutions.Act as a trusted advisor to senior stakeholders, bridging the gap between technical teams and commercial leaders.Drive AI Adoption & CapabilityChampion the use of AI across the organisation.Promote practical, day-to-day use of AI tools and solutions, and help teams unlock productivity and better decision-making.Support training, upskilling and knowledge sharing to build a data-driven culture.Lead & Inspire a High-Performing TeamLead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts.Build a strong, collaborative and innovative team culture focused on delivery and impact.What We're Looking ForExperience & ExpertiseProven experience leading AI, data science, machine learning or data platform teamsTrack record of delivering data and AI initiatives with clear business impactStrong understanding of data platforms, analytics, and ML/AI technologiesExperience operating in complex, matrixed organisationsBusiness & Leadership SkillsStrong commercial acumen and ability to link AI initiatives to business valueExcellent stakeholder management and influencing skills at senior levelsAbility to operate strategically while staying close to executionExperience leading cross-functional initiatives end-to-endMindsetPragmatic and delivery-focused, with a bias for actionCurious, innovative and comfortable challenging the status quoStrong communicator, able to translate complex topics into clear business languagePassion for building and developing high-performing teamsBenefits & PerksCompetitive salary (depending on experience) + bonus25 days annual leave plus public holidays. Plus a holiday buy back schemePension schemeHealth and wellness programsSignificant career progression opportunities, with potential to take on a wider role in the futureOpportunity to join a leading brand in a high growth global businessFun culture with company-wide contests and prizesOur Company & PurposeCorpay is a global leader in business payments, laser focused on developing smarter ways for businesses to pay their expenses. Since 2000, Corpay has developed innovative digital solutions that help businesses better track, manage, and pay their expenses. Today, Corpay is an S&P 500 company with hundreds of thousands of customers using our products in over 100 countries. Companies of all sizes, industries and geographies rely on our product portfolio to manage spending more quickly, efficiently and securely than ever before.We embrace a culture grounded in five key values: integrity, collaboration, innovation, execution and people. These values offer you the opportunity to 'thrive & grow' through career development, volunteer, community, and wellness initiatives. This allows you to create a balance between professional goals and personal achievement.Corpay is also committed to building and nurturing a culture of diversity, inclusion, equality, and belonging by:Welcoming people of different backgrounds, cultures, ethnicities, genders, and sexual orientations;Empowering our people to share their experiences and ideas through open forums and individual conversations; andValuing each person's unique perspectives and individual contributions.Embracing diversity enables our people to "make the difference" as CORPAY and its more than 8,000 employees continue to shape the future of global payments. Learn more by visiting or following Corpay on LinkedIn.Equal Opportunity/Affirmative Action EmployerCorpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all employees and applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information, veteran and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department.For more information about our commitment to equal employment opportunity and pay transparency, please click the following links: EEO and Pay TransparencyWhy Join Corpay?Impact: Play a pivotal role in a function, bringing your expertiseGlobal Reach: Be part of a company with a presence in over 80 countries and a team of more than 10,000 employees worldwide.Culture: Join a passionate, collaborative, and inclusive team that values your contributions.Rewards: Competitive compensation package, including equity, health benefits, and more.Growth: Opportunities for professional development and career advancement in a fast-growing company.CORPAY Enjoys Global Recognition Including:Forbes Global Growth Champion: CORPAY (FLEETCOR) is one of the 250 fastest-growing companies in the world as determined by Forbes and Statista.Forbes World's Most Innovative Companies: CORPAY (FLEETCOR) has made this prestigious list of leading innovative companies 4 years in a row!Fortune 1000 Company: CORPAY (FLEETCOR) was one of the largest movers in the new rankings of the largest companies in America, ranking .S&P 500: In 2018, CORPAY (FLEETCOR) joined the S&P stock index comprised of the 500 leading US stocks. CorpayCorpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpay's Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements.Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities.Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CV's from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.
10/07/2026
Full time
Your roleWhat you'll be doingVP AI & Data PlatformsWhat We NeedCorpay is currently looking to hire a VP AI & Data Platforms within our IVP Commercial team. This position falls under our International Vehicle Payments (IVP) line of business and is located in London, Victoria.You will lead our internal AI, data science and data engineering capabilities across our Europe & Rest of World fleet business unit. This is a senior leadership role focused on turning AI and data into tangible business outcomes - driving growth, improving customer retention, optimising operations and enabling smarter decision-making across the organisation.In this pivotal role you will sit at the intersection of business and technology, working closely with commercial, operational and functional leaders to identify opportunities, deliver impactful solutions and scale AI adoption across the companyYou will report directly to our Chief Commercial Officer, IVP and regularly collaborate with the wider Strategy team, IVP business leaders and supporting teams across Europe and the UK.How We WorkAs a VP AI & Data Platforms , you will be expected to work in an office environment. Corpay will set you up for success by providing:Assigned workspace in Vincent Square, London (Victoria)Company-issued equipmentFormal, hands-on training. Support for you to complete professional certifications.Collaborative and supportive leadershipRole ResponsibilitiesThis is a unique opportunity to shape and scale AI within a global, high-growth business, working directly with senior leadership to embed AI into how the organisation operates day-to-day. You'll have the platform to build, lead and deliver meaningful change - turning data and AI into a core driver of business performance.What you will be delivering;Lead AI & Data StrategyDefine and execute a clear AI and data strategy aligned to business priorities, with a focus on revenue growth, customer retention, operational efficiency and productivity.Identify, prioritise and build a portfolio of high-impact AI and data initiatives.Deliver Business ImpactOwn the end-to-end lifecycle of AI initiatives - from ideation and business case through to delivery, adoption and measurable results.Ensure solutions are embedded into business processes and drive real, sustained impact.Build & Scale Data PlatformsOversee data science, machine learning and data engineering teams to build scalable, reliable and high-quality data and AI platforms.Drive best practices in data architecture, model development, deployment and lifecycle management.Partner Across the BusinessWork closely with Sales, Operations, Finance, Credit, Marketing and Technology teams to translate business needs into data and AI solutions.Act as a trusted advisor to senior stakeholders, bridging the gap between technical teams and commercial leaders.Drive AI Adoption & CapabilityChampion the use of AI across the organisation.Promote practical, day-to-day use of AI tools and solutions, and help teams unlock productivity and better decision-making.Support training, upskilling and knowledge sharing to build a data-driven culture.Lead & Inspire a High-Performing TeamLead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts.Build a strong, collaborative and innovative team culture focused on delivery and impact.What We're Looking ForExperience & ExpertiseProven experience leading AI, data science, machine learning or data platform teamsTrack record of delivering data and AI initiatives with clear business impactStrong understanding of data platforms, analytics, and ML/AI technologiesExperience operating in complex, matrixed organisationsBusiness & Leadership SkillsStrong commercial acumen and ability to link AI initiatives to business valueExcellent stakeholder management and influencing skills at senior levelsAbility to operate strategically while staying close to executionExperience leading cross-functional initiatives end-to-endMindsetPragmatic and delivery-focused, with a bias for actionCurious, innovative and comfortable challenging the status quoStrong communicator, able to translate complex topics into clear business languagePassion for building and developing high-performing teamsBenefits & PerksCompetitive salary (depending on experience) + bonus25 days annual leave plus public holidays. Plus a holiday buy back schemePension schemeHealth and wellness programsSignificant career progression opportunities, with potential to take on a wider role in the futureOpportunity to join a leading brand in a high growth global businessFun culture with company-wide contests and prizesOur Company & PurposeCorpay is a global leader in business payments, laser focused on developing smarter ways for businesses to pay their expenses. Since 2000, Corpay has developed innovative digital solutions that help businesses better track, manage, and pay their expenses. Today, Corpay is an S&P 500 company with hundreds of thousands of customers using our products in over 100 countries. Companies of all sizes, industries and geographies rely on our product portfolio to manage spending more quickly, efficiently and securely than ever before.We embrace a culture grounded in five key values: integrity, collaboration, innovation, execution and people. These values offer you the opportunity to 'thrive & grow' through career development, volunteer, community, and wellness initiatives. This allows you to create a balance between professional goals and personal achievement.Corpay is also committed to building and nurturing a culture of diversity, inclusion, equality, and belonging by:Welcoming people of different backgrounds, cultures, ethnicities, genders, and sexual orientations;Empowering our people to share their experiences and ideas through open forums and individual conversations; andValuing each person's unique perspectives and individual contributions.Embracing diversity enables our people to "make the difference" as CORPAY and its more than 8,000 employees continue to shape the future of global payments. Learn more by visiting or following Corpay on LinkedIn.Equal Opportunity/Affirmative Action EmployerCorpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all employees and applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information, veteran and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department.For more information about our commitment to equal employment opportunity and pay transparency, please click the following links: EEO and Pay TransparencyWhy Join Corpay?Impact: Play a pivotal role in a function, bringing your expertiseGlobal Reach: Be part of a company with a presence in over 80 countries and a team of more than 10,000 employees worldwide.Culture: Join a passionate, collaborative, and inclusive team that values your contributions.Rewards: Competitive compensation package, including equity, health benefits, and more.Growth: Opportunities for professional development and career advancement in a fast-growing company.CORPAY Enjoys Global Recognition Including:Forbes Global Growth Champion: CORPAY (FLEETCOR) is one of the 250 fastest-growing companies in the world as determined by Forbes and Statista.Forbes World's Most Innovative Companies: CORPAY (FLEETCOR) has made this prestigious list of leading innovative companies 4 years in a row!Fortune 1000 Company: CORPAY (FLEETCOR) was one of the largest movers in the new rankings of the largest companies in America, ranking .S&P 500: In 2018, CORPAY (FLEETCOR) joined the S&P stock index comprised of the 500 leading US stocks. CorpayCorpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpay's Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements.Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities.Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CV's from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.
Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore and Sydney. We have raised more than $500m in funding and are now valued at $2.7bn. Our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Thought Machine's Site Reliability Engineers are the guardians of mission-critical systems for the world's most influential financial institutions. As a member of our elite, globally distributed team, you'll be entrusted with running and maintaining the robust production infrastructure that powers our customers' cutting-edge Core Banking and Payments platforms. This is an opportunity to make a tangible impact on the global financial landscape while collaborating with brilliant minds to solve complex engineering challenges. This role will be part of the Site Reliability Engineering team at Thought Machine HQ in London. The team is deeply involved in tackling the technical challenges of executing Thought Machine's growth ambitions - expect to be working with senior stakeholders in the organisation, our customers, and working on programmes and initiatives that are critical to the success of the company. As an SRE at Thought Machine, you will be responsible for: Supporting the product engineering teams in building highly fault-tolerant, scalable applications by participating in design discussions, engaging in RFCs and code reviews. Contributing to the execution of department strategies such as implementing disaster recovery, backup, redundancy, and capacity planning activities. Participating in a global on-call rotation responsible for identifying and fixing bottlenecks in SaaS customer environments. Regular maintenance of production systems that host Vault products. Contributing to the evolution of our SaaS products by building features that foster exceptional reliability and an unparalleled user experience. Implementing and testing DR strategies to ensure the highest level of resilience and fault tolerance of the platform. Maintaining high-quality written documentation of assets, processes and runbooks that are used by the team in their day-to-day operations. Collaborating effectively with team members, actively participating in knowledge sharing, and continuously growing your own technical understanding of Vault Products. What we're looking for: You have experience successfully delivering engineering tasks and projects with a focus on reliability and scalability. You possess a good understanding of design patterns relevant to hosting and networking architectures. You proactively champion product development, driven by a desire to build truly exceptional products, not just solve immediate challenges. You have a strong background working in either Python, Golang or Java, having used one of these programming languages to build production level software. You have experience working with Kubernetes or other container orchestration systems. You have experience with automation/configuration management, e.g. Terraform, Puppet, Chef, Ansible. You have a good understanding of one or more of the following areas: Database Administration, Networking, Observability Tools (such as Prometheus, Jaeger) or automation infrastructure. You have solid experience working with either GCP or AWS. Benefits: Highly competitive salary Pension plan (match up to 5%) Life insurance - three times annual salary Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid) Shared parental leave (matched to our maternity leave for the same point in time) 25 days holiday and bank holidays Flexible working hours Cycle-to-work scheme Electric car scheme Season ticket loan Access to outstanding learning materials and courses Sports and hobby clubs, subsidised by Thought Machine All the latest tech you need Start the day properly with fresh fruit and cereals Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks A talented and experienced team as your colleagues An environment where we encourage learning and progress Two charity days a year Weekly food pop-up We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.
10/07/2026
Full time
Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore and Sydney. We have raised more than $500m in funding and are now valued at $2.7bn. Our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Thought Machine's Site Reliability Engineers are the guardians of mission-critical systems for the world's most influential financial institutions. As a member of our elite, globally distributed team, you'll be entrusted with running and maintaining the robust production infrastructure that powers our customers' cutting-edge Core Banking and Payments platforms. This is an opportunity to make a tangible impact on the global financial landscape while collaborating with brilliant minds to solve complex engineering challenges. This role will be part of the Site Reliability Engineering team at Thought Machine HQ in London. The team is deeply involved in tackling the technical challenges of executing Thought Machine's growth ambitions - expect to be working with senior stakeholders in the organisation, our customers, and working on programmes and initiatives that are critical to the success of the company. As an SRE at Thought Machine, you will be responsible for: Supporting the product engineering teams in building highly fault-tolerant, scalable applications by participating in design discussions, engaging in RFCs and code reviews. Contributing to the execution of department strategies such as implementing disaster recovery, backup, redundancy, and capacity planning activities. Participating in a global on-call rotation responsible for identifying and fixing bottlenecks in SaaS customer environments. Regular maintenance of production systems that host Vault products. Contributing to the evolution of our SaaS products by building features that foster exceptional reliability and an unparalleled user experience. Implementing and testing DR strategies to ensure the highest level of resilience and fault tolerance of the platform. Maintaining high-quality written documentation of assets, processes and runbooks that are used by the team in their day-to-day operations. Collaborating effectively with team members, actively participating in knowledge sharing, and continuously growing your own technical understanding of Vault Products. What we're looking for: You have experience successfully delivering engineering tasks and projects with a focus on reliability and scalability. You possess a good understanding of design patterns relevant to hosting and networking architectures. You proactively champion product development, driven by a desire to build truly exceptional products, not just solve immediate challenges. You have a strong background working in either Python, Golang or Java, having used one of these programming languages to build production level software. You have experience working with Kubernetes or other container orchestration systems. You have experience with automation/configuration management, e.g. Terraform, Puppet, Chef, Ansible. You have a good understanding of one or more of the following areas: Database Administration, Networking, Observability Tools (such as Prometheus, Jaeger) or automation infrastructure. You have solid experience working with either GCP or AWS. Benefits: Highly competitive salary Pension plan (match up to 5%) Life insurance - three times annual salary Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid) Shared parental leave (matched to our maternity leave for the same point in time) 25 days holiday and bank holidays Flexible working hours Cycle-to-work scheme Electric car scheme Season ticket loan Access to outstanding learning materials and courses Sports and hobby clubs, subsidised by Thought Machine All the latest tech you need Start the day properly with fresh fruit and cereals Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks A talented and experienced team as your colleagues An environment where we encourage learning and progress Two charity days a year Weekly food pop-up We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.
AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ
10/07/2026
Full time
AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview This role is an exciting opportunity to join us and lead the reporting and analytics capability within the Continuous Threat Exposure Management (CTEM) function. The Continuous Threat Exposure Reporting Manager is responsible for developing, automating, and delivering high-quality reporting across vulnerability management, secure configuration and attack surface management domains. This role plays a pivotal part in enabling the organisation to understand its exposure, prioritise remediation activities, and drive risk reduction at scale through data-driven insights. This is a chance to shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you'll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. Produce reporting for operational teams, engineering teams and executive stakeholders. Consolidate and correlate data from multiple platforms to create a unified and prioritised exposure view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs and governance. Prepare reporting for senior management, both inside and outside of Global Cyber Security, on risk and exposure trends. What you'll bring Essential criteria: Experience in cyber security reporting, analytics or vulnerability management. Strong understanding of vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We ' re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
10/07/2026
Full time
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview This role is an exciting opportunity to join us and lead the reporting and analytics capability within the Continuous Threat Exposure Management (CTEM) function. The Continuous Threat Exposure Reporting Manager is responsible for developing, automating, and delivering high-quality reporting across vulnerability management, secure configuration and attack surface management domains. This role plays a pivotal part in enabling the organisation to understand its exposure, prioritise remediation activities, and drive risk reduction at scale through data-driven insights. This is a chance to shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you'll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. Produce reporting for operational teams, engineering teams and executive stakeholders. Consolidate and correlate data from multiple platforms to create a unified and prioritised exposure view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs and governance. Prepare reporting for senior management, both inside and outside of Global Cyber Security, on risk and exposure trends. What you'll bring Essential criteria: Experience in cyber security reporting, analytics or vulnerability management. Strong understanding of vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We ' re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
(Applicants must be based in the UK and already have the right to work in this country.) Due to continued growth, Fishbone Solutions is looking to strengthen its established team to support the delivery of both existing and new projects. We are seeking a Data Analyst to support the delivery of project management, engineering and assurance programmes, particularly within the UK rail and wider transportation industry. As a Data Analyst, you will support the development of high-quality management information through the creation of Power BI dashboards and analytical solutions. You will work closely with clients and internal teams to understand business requirements, analyse data, and provide actionable insights that support effective project delivery. The ideal candidate will be personable, comfortable communicating with stakeholders, and able to translate technical concepts into clear insights for non technical audiences. As our portfolio of projects continues to grow and our data capabilities expand, this is an exciting opportunity to join a team that is actively developing new analytical solutions and supporting a wide range of projects across transportation, engineering, operations, and programme delivery. The successful candidate will have the chance to contribute to the growth of the team, help shape how data is used across our projects, and play a key role in developing and delivering impactful insights to our clients. What can you expect from this job? Collaborate with clients and internal teams to understand data requirements and provide valuable insights using Power BI. Develop and maintain data models, dashboards and applications using Power BI, including the creation of DAX measures and calculations. Work with clients and stakeholders to gather, validate and refine reporting requirements, ensuring analytical outputs align with project objectives. Conduct data cleaning, transformation and preparation using tools such as Power Query, SQL and Excel to support business intelligence outputs. Use SQL to query, analyse and understand relational datasets, including navigating database schemas and relationships. Support data validation and quality assurance processes to ensure the reliability and integrity of reporting outputs. Communicate analytical findings and insights to clients in a clear and concise manner. Work both independently and collaboratively to deliver work packages to agreed quality, time and budget. Support the delivery of innovative analytical solutions within R&D programmes and client projects. Collaborate with a diverse engineering and project delivery team to develop analytical outputs that support project performance and decision making. Continuously improve data analysis processes and techniques to increase efficiency and quality of work. Work closely with the Business Intelligence Manager to support the development of data analytics capabilities within Fishbone Solutions. Qualifications required A STEM degree is preferred, but relevant equivalent experience will also be considered. Experience working in data analytics, business intelligence or reporting Experience using Power BI for dashboard development and data modelling. Experience engaging with clients or stakeholders to gather and refine reporting requirements. Technical expertise and skills required Experience developing dashboards and reports using Power BI. Strong understanding of DAX measures and calculations. Strong Excel skills, including formulas, structured datasets and analytical techniques. Working knowledge of SQL, including querying relational databases and understanding schema relationships. Knowledge of Python for data processing, automation or integration tasks is desirable. Understanding of data modelling, data transformation and reporting best practices. Ability to interpret complex datasets and translate findings into meaningful insights. Strong documentation and technical report writing skills. Confidence presenting analytical outputs to senior stakeholders and clients. Understanding of AI, machine learning or advanced analytics techniques would be beneficial but is not essential. Knowledge of the UK rail or wider transportation industry would be advantageous but is not essential. Highly desirable There is a strong opportunity within Fishbone Solutions to contribute to the growth of our data and analytics capability while supporting major infrastructure programmes. You will have the opportunity to work with experienced engineering and project teams, delivering insights that directly support client decision making. We are actively seeking candidates with the drive and capability to contribute to this growth and support the continued development of our analytics services. In return, we offer a competitive package and benefits, alongside opportunities for career development and progression within a growing transportation and analytics consultancy.
10/07/2026
Full time
(Applicants must be based in the UK and already have the right to work in this country.) Due to continued growth, Fishbone Solutions is looking to strengthen its established team to support the delivery of both existing and new projects. We are seeking a Data Analyst to support the delivery of project management, engineering and assurance programmes, particularly within the UK rail and wider transportation industry. As a Data Analyst, you will support the development of high-quality management information through the creation of Power BI dashboards and analytical solutions. You will work closely with clients and internal teams to understand business requirements, analyse data, and provide actionable insights that support effective project delivery. The ideal candidate will be personable, comfortable communicating with stakeholders, and able to translate technical concepts into clear insights for non technical audiences. As our portfolio of projects continues to grow and our data capabilities expand, this is an exciting opportunity to join a team that is actively developing new analytical solutions and supporting a wide range of projects across transportation, engineering, operations, and programme delivery. The successful candidate will have the chance to contribute to the growth of the team, help shape how data is used across our projects, and play a key role in developing and delivering impactful insights to our clients. What can you expect from this job? Collaborate with clients and internal teams to understand data requirements and provide valuable insights using Power BI. Develop and maintain data models, dashboards and applications using Power BI, including the creation of DAX measures and calculations. Work with clients and stakeholders to gather, validate and refine reporting requirements, ensuring analytical outputs align with project objectives. Conduct data cleaning, transformation and preparation using tools such as Power Query, SQL and Excel to support business intelligence outputs. Use SQL to query, analyse and understand relational datasets, including navigating database schemas and relationships. Support data validation and quality assurance processes to ensure the reliability and integrity of reporting outputs. Communicate analytical findings and insights to clients in a clear and concise manner. Work both independently and collaboratively to deliver work packages to agreed quality, time and budget. Support the delivery of innovative analytical solutions within R&D programmes and client projects. Collaborate with a diverse engineering and project delivery team to develop analytical outputs that support project performance and decision making. Continuously improve data analysis processes and techniques to increase efficiency and quality of work. Work closely with the Business Intelligence Manager to support the development of data analytics capabilities within Fishbone Solutions. Qualifications required A STEM degree is preferred, but relevant equivalent experience will also be considered. Experience working in data analytics, business intelligence or reporting Experience using Power BI for dashboard development and data modelling. Experience engaging with clients or stakeholders to gather and refine reporting requirements. Technical expertise and skills required Experience developing dashboards and reports using Power BI. Strong understanding of DAX measures and calculations. Strong Excel skills, including formulas, structured datasets and analytical techniques. Working knowledge of SQL, including querying relational databases and understanding schema relationships. Knowledge of Python for data processing, automation or integration tasks is desirable. Understanding of data modelling, data transformation and reporting best practices. Ability to interpret complex datasets and translate findings into meaningful insights. Strong documentation and technical report writing skills. Confidence presenting analytical outputs to senior stakeholders and clients. Understanding of AI, machine learning or advanced analytics techniques would be beneficial but is not essential. Knowledge of the UK rail or wider transportation industry would be advantageous but is not essential. Highly desirable There is a strong opportunity within Fishbone Solutions to contribute to the growth of our data and analytics capability while supporting major infrastructure programmes. You will have the opportunity to work with experienced engineering and project teams, delivering insights that directly support client decision making. We are actively seeking candidates with the drive and capability to contribute to this growth and support the continued development of our analytics services. In return, we offer a competitive package and benefits, alongside opportunities for career development and progression within a growing transportation and analytics consultancy.
Associate AI Solutions ArchitectApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR111536 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. About the Role The Associate AI Solutions architect is an early-career technical specialist who supports customer-facing AI initiatives while developing expertise in Genesys Cloud AI solutions. Working closely with senior AI Architects, Solution Consultants, Sales teams, and Product Specialists, you will help demonstrate, prototype, and validate AI use cases for customers.This role is ideal for someone with a passion for AI, customer experience technology, and cloud platforms who wants to grow their technical and business skills in a fast-evolving industry. Key Responsibilities Support customer discovery sessions to understand business challenges, customer experience goals, and AI use cases. Assist in building demonstrations, proof-of-concepts, and prototype solutions using Genesys AI capabilities. Help configure and test AI-powered experiences such as virtual agents, agent assistance, knowledge search, and conversational AI workflows. Learn how enterprise AI solutions are designed and deployed, including integrations with APIs, business systems, and external data sources. Support the creation and maintenance of reusable demo environments, technical assets, and solution documentation. Participate in customer workshops, technical presentations, and product demonstrations alongside senior team members. Assist with sandbox and trial engagements by helping validate use cases, test functionality, and document outcomes. Collaborate with sales teams to prepare technical responses, solution recommendations, and customer presentations. Help gather customer feedback and share insights with Product Management and Engineering teams to improve Genesys AI solutions. Develop knowledge of AI concepts such as large language models (LLMs), retrieval-augmented generation (RAG), prompt design, and conversational AI best practices. Contribute to internal enablement activities, including documentation, knowledge sharing, and technical training materials. Requirements Education & Experience Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field, or equivalent practical experience. 0-2 years of experience in a technical, customer-facing, software, cloud, or AI-related role. Internship, university project, bootcamp, or personal project experience involving AI, software development, or cloud technologies is a plus.Technical Skills Basic understanding of AI, machine learning, natural language processing, or generative AI concepts. Familiarity with APIs, web services, and modern software applications. Foundational programming skills (Python preferred). Interest in learning cloud platforms, enterprise software, and customer experience technologies. Basic understanding of data structures, databases, and system integrations is beneficial.Communication & Collaboration Strong written and verbal communication skills. Ability to explain technical concepts clearly to different audiences. Strong problem-solving mindset and willingness to learn from experienced team members. Ability to work collaboratively across sales, technical, and product teams.Desired Attributes Curiosity about emerging AI technologies and their business applications. Passion for customer experience and digital transformation. Eagerness to learn, experiment, and grow technical expertise. Comfortable working in a fast-paced, collaborative environment.Languages Fluency in English Other language skills are a plus. What You'll Gain Hands-on experience with enterprise AI and customer experience technologies. Exposure to real-world customer engagements and AI solution design. Mentorship from experienced AI Architects and industry experts. Opportunities to develop technical, presentation, and consulting skills. A clear growth path toward senior technical and customer-facing roles within Genesys. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at . You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
10/07/2026
Full time
Associate AI Solutions ArchitectApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR111536 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. About the Role The Associate AI Solutions architect is an early-career technical specialist who supports customer-facing AI initiatives while developing expertise in Genesys Cloud AI solutions. Working closely with senior AI Architects, Solution Consultants, Sales teams, and Product Specialists, you will help demonstrate, prototype, and validate AI use cases for customers.This role is ideal for someone with a passion for AI, customer experience technology, and cloud platforms who wants to grow their technical and business skills in a fast-evolving industry. Key Responsibilities Support customer discovery sessions to understand business challenges, customer experience goals, and AI use cases. Assist in building demonstrations, proof-of-concepts, and prototype solutions using Genesys AI capabilities. Help configure and test AI-powered experiences such as virtual agents, agent assistance, knowledge search, and conversational AI workflows. Learn how enterprise AI solutions are designed and deployed, including integrations with APIs, business systems, and external data sources. Support the creation and maintenance of reusable demo environments, technical assets, and solution documentation. Participate in customer workshops, technical presentations, and product demonstrations alongside senior team members. Assist with sandbox and trial engagements by helping validate use cases, test functionality, and document outcomes. Collaborate with sales teams to prepare technical responses, solution recommendations, and customer presentations. Help gather customer feedback and share insights with Product Management and Engineering teams to improve Genesys AI solutions. Develop knowledge of AI concepts such as large language models (LLMs), retrieval-augmented generation (RAG), prompt design, and conversational AI best practices. Contribute to internal enablement activities, including documentation, knowledge sharing, and technical training materials. Requirements Education & Experience Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field, or equivalent practical experience. 0-2 years of experience in a technical, customer-facing, software, cloud, or AI-related role. Internship, university project, bootcamp, or personal project experience involving AI, software development, or cloud technologies is a plus.Technical Skills Basic understanding of AI, machine learning, natural language processing, or generative AI concepts. Familiarity with APIs, web services, and modern software applications. Foundational programming skills (Python preferred). Interest in learning cloud platforms, enterprise software, and customer experience technologies. Basic understanding of data structures, databases, and system integrations is beneficial.Communication & Collaboration Strong written and verbal communication skills. Ability to explain technical concepts clearly to different audiences. Strong problem-solving mindset and willingness to learn from experienced team members. Ability to work collaboratively across sales, technical, and product teams.Desired Attributes Curiosity about emerging AI technologies and their business applications. Passion for customer experience and digital transformation. Eagerness to learn, experiment, and grow technical expertise. Comfortable working in a fast-paced, collaborative environment.Languages Fluency in English Other language skills are a plus. What You'll Gain Hands-on experience with enterprise AI and customer experience technologies. Exposure to real-world customer engagements and AI solution design. Mentorship from experienced AI Architects and industry experts. Opportunities to develop technical, presentation, and consulting skills. A clear growth path toward senior technical and customer-facing roles within Genesys. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at . You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
About Abound We're redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We've issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we're recognised as one of Europe's fastest-growing fintechs (Sifted, CNBC). Now, we're expanding into new markets and product lines - and we're looking for ambitious people who want to learn fast, take ownership, and grow with us. Your Graduate Scheme (AI Engineering Route) There will be opportunities to work on projects ranging from our core AI powered customer operations to new agentic workflows and automation products that we're just getting off the ground. You'll work cross functionally with our UK and Shenzhen engineering teams, as well as risk, compliance, and customer operations teams. You'll start shipping code from week one, and learn by doing. You will join our AI Engineering team and might be contributing by Building Generative AI and AI agent solutions for customer operations, internal automation, and lending operations. Designing prompts, workflows, and evaluation processes to make AI systems more reliable and useful. Integrating LLMs with internal tools, APIs, databases, and business systems. Writing clean, scalable, and maintainable Python code for real production use cases. Mentorship Program: pair with senior engineers throughout the scheme. Bi annual technical reviews and career progression planning. Real Impact: See your AI systems go live and directly improve customer operations, risk workflows, and lending decisions for thousands of customers. Who You Are You believe that learning is the most important thing to optimise for as you start your career, and want to learn by doing at the fastest growing fintech in London. You like using AI to solve complex, real world problems, not just build demos. You thrive when given ownership, and autonomy. You also want to learn about the commercial impact of any technical changes you make. A recent (or soon to be) graduate with a degree in a technical or quantitative field (e.g. Computer Science, AI/Machine Learning, Statistics, Engineering or Mathematics - STEM field). Programming: Proficiency in Python or similar languages or a good understanding of computer science and eagerness to learn and perform in Python based technologies. Understanding and genuine interest in Generative AI concepts, including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations. Why Join Us Learn from experienced AI Engineers, and product leaders in a flat, fast paced team. A chance to shape the future of credit using the latest Generative AI and agentic technologies. A collaborative, diverse, flexible culture that values growth, ownership, and keeping our customers first in all of our engineering. Position yourself at the forefront of the AI and financial services revolution. Exceptional promotion opportunities from rapid company growth. What We Offer Hybrid with 3 days a week in the office. 25 days' holiday a year, plus 8 bank holidays. 2 paid volunteering days per year. One month paid sabbatical after 4 years. Free gym membership. Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering. The Interview Process Take Home Test (20-30 mins). Remote (video call) Technical Interview (1 hour). In person interview day where you'll meet 3-4 people across Engineering and Senior Leadership (1.5 hours). Scheme details Our graduate scheme runs for one year, with the opportunity to convert to a permanent role based on performance. Start date: Late September - Early October 2026 (TBC). Please note: we are unable to offer visa sponsorship for this role.
10/07/2026
Full time
About Abound We're redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We've issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we're recognised as one of Europe's fastest-growing fintechs (Sifted, CNBC). Now, we're expanding into new markets and product lines - and we're looking for ambitious people who want to learn fast, take ownership, and grow with us. Your Graduate Scheme (AI Engineering Route) There will be opportunities to work on projects ranging from our core AI powered customer operations to new agentic workflows and automation products that we're just getting off the ground. You'll work cross functionally with our UK and Shenzhen engineering teams, as well as risk, compliance, and customer operations teams. You'll start shipping code from week one, and learn by doing. You will join our AI Engineering team and might be contributing by Building Generative AI and AI agent solutions for customer operations, internal automation, and lending operations. Designing prompts, workflows, and evaluation processes to make AI systems more reliable and useful. Integrating LLMs with internal tools, APIs, databases, and business systems. Writing clean, scalable, and maintainable Python code for real production use cases. Mentorship Program: pair with senior engineers throughout the scheme. Bi annual technical reviews and career progression planning. Real Impact: See your AI systems go live and directly improve customer operations, risk workflows, and lending decisions for thousands of customers. Who You Are You believe that learning is the most important thing to optimise for as you start your career, and want to learn by doing at the fastest growing fintech in London. You like using AI to solve complex, real world problems, not just build demos. You thrive when given ownership, and autonomy. You also want to learn about the commercial impact of any technical changes you make. A recent (or soon to be) graduate with a degree in a technical or quantitative field (e.g. Computer Science, AI/Machine Learning, Statistics, Engineering or Mathematics - STEM field). Programming: Proficiency in Python or similar languages or a good understanding of computer science and eagerness to learn and perform in Python based technologies. Understanding and genuine interest in Generative AI concepts, including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations. Why Join Us Learn from experienced AI Engineers, and product leaders in a flat, fast paced team. A chance to shape the future of credit using the latest Generative AI and agentic technologies. A collaborative, diverse, flexible culture that values growth, ownership, and keeping our customers first in all of our engineering. Position yourself at the forefront of the AI and financial services revolution. Exceptional promotion opportunities from rapid company growth. What We Offer Hybrid with 3 days a week in the office. 25 days' holiday a year, plus 8 bank holidays. 2 paid volunteering days per year. One month paid sabbatical after 4 years. Free gym membership. Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering. The Interview Process Take Home Test (20-30 mins). Remote (video call) Technical Interview (1 hour). In person interview day where you'll meet 3-4 people across Engineering and Senior Leadership (1.5 hours). Scheme details Our graduate scheme runs for one year, with the opportunity to convert to a permanent role based on performance. Start date: Late September - Early October 2026 (TBC). Please note: we are unable to offer visa sponsorship for this role.
Work in a small, dedicated software team on scientific instrumentation projects Royston, Hertfordshire; to £65,000 DoE This established scientific instrument company provides applied biotechnologies used for protein characterisation, antibody discovery and cell line development. Their instruments are based on proprietary innovations around microfluidic systems and transformative in-solution technologies. Responsibilities Design and develop data collection and analysis software Contribute to instrument control Debug embedded software Provide relevant testing Qualifications Masters degree in computer science, engineering, physics or other related discipline. Demonstrable industry project experience in software engineering including the successful delivery of hardware-related instrumentation products to market. Wide range of technical competence in programming including C#, MVVM, embedded C++, Python, and TypeScript. This should include application software for both Windows and Linux. Any experience with image processing, Java or machine learning would be desirable. This role is based fully onsite at their offices in Royston including parking and is within walking distance of the local train station. Please note, no company sponsorship is available for those looking for work visas. Please apply (quoting ref: TJ27665) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
10/07/2026
Full time
Work in a small, dedicated software team on scientific instrumentation projects Royston, Hertfordshire; to £65,000 DoE This established scientific instrument company provides applied biotechnologies used for protein characterisation, antibody discovery and cell line development. Their instruments are based on proprietary innovations around microfluidic systems and transformative in-solution technologies. Responsibilities Design and develop data collection and analysis software Contribute to instrument control Debug embedded software Provide relevant testing Qualifications Masters degree in computer science, engineering, physics or other related discipline. Demonstrable industry project experience in software engineering including the successful delivery of hardware-related instrumentation products to market. Wide range of technical competence in programming including C#, MVVM, embedded C++, Python, and TypeScript. This should include application software for both Windows and Linux. Any experience with image processing, Java or machine learning would be desirable. This role is based fully onsite at their offices in Royston including parking and is within walking distance of the local train station. Please note, no company sponsorship is available for those looking for work visas. Please apply (quoting ref: TJ27665) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Fractile is seeking a Senior ML Compiler Engineer to develop the machine learning compiler stack for innovative AI acceleration hardware. This role offers the opportunity to work collaboratively with hardware and software teams to optimize performance. The ideal candidate has proven experience with machine learning compilers, skills in C/C++, and a degree in relevant fields. Join us in Bristol or London for this unique opportunity to shape new technologies.
10/07/2026
Full time
Fractile is seeking a Senior ML Compiler Engineer to develop the machine learning compiler stack for innovative AI acceleration hardware. This role offers the opportunity to work collaboratively with hardware and software teams to optimize performance. The ideal candidate has proven experience with machine learning compilers, skills in C/C++, and a degree in relevant fields. Join us in Bristol or London for this unique opportunity to shape new technologies.
Job Description Senior Software Engineer - Maximus Salary: Up to £85K (depending on location and experience) Location status: Hybrid Working Location: Angel Court, London or the company Place, Manchester Role Type: Permanent Shift pattern: Full time, 35 hours per week At the company, we're helping people live longer, healthier, happier lives. Technology plays a vital role in how we support our customers, colleagues and healthcare services, creating experiences that are simple, efficient and secure. As a Senior Software Engineer - Maximus, you'll be part of our Group Technology team and play an important role in our digital transformation journey. You'll work within the Maximus Product team, building and improving solutions that help colleagues work more effectively across the business. This role offers the opportunity to work with modern Microsoft technologies, including Power Apps, Power Pages, Power Automate, SharePoint Online and Microsoft Copilot Studio. You'll collaborate closely with stakeholders to understand their needs, shape technical solutions and drive continuous improvement across products and services. Key Responsibilities Design, build, test and maintain applications using Microsoft Power Platform technologies Develop solutions using Power Apps, Power Pages, Power Automate, SharePoint Online and Dataverse Lead software design activities, ensuring solutions are secure, scalable and aligned to agreed standards Work with stakeholders to gather, review and prioritise requirements, helping shape effective business solutions Lead and contribute to code reviews, promoting quality and continuous improvement across the team Design and execute testing activities, supporting the delivery of reliable and high-quality software Plan, coordinate and support software releases, ensuring quality, security and compliance requirements are met Support complex system integrations and help improve development tools and processes Provide application support, troubleshoot issues and help maintain stable and effective services Share knowledge and encourage a culture of learning, collaboration and continuous improvement What We're Looking For Strong experience developing solutions using Microsoft Power Platform, including Power Apps, Power Automate, Power BI, SharePoint Online and Dataverse Experience designing and delivering complex software solutions in an enterprise environment Strong stakeholder management skills and the ability to build trusted working relationships Experience with Agile ways of working and modern software development practices Experience developing with technologies such as C#, .NET, JavaScript, React, HTML, CSS and Web APIs Experience working in test-driven development environments and applying quality-focused engineering practices Ability to balance technical excellence with practical business outcomes A proactive approach with excellent problem-solving and communication skills Nice to have: Experience with SharePoint Framework (SPFx) Experience with Microsoft Copilot Studio Knowledge of AI and machine learning capabilities within the Microsoft Power Platform Experience with ALM Accelerator for Power Platform Experience using Python or similar scripting and data transformation tools Knowledge of Microsoft 365 integration capabilities and Entra ID Benefits Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health - from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits. Joining the company in this role you will receive the following benefits and more: 25 days holiday, increasing through length of service, with option to buy or sell The company health insurance as a benefit in kind Enhanced pension plan and life insurance Onsite gyms or local discounts where no onsite gym available Various other benefits and online discounts Company pension Employee mentoring programme Free flu jabs Referral programme Canteen Private medical insurance Gym membership Health & wellbeing programme Cycle to work scheme Paid volunteer time Private dental insurance Additional leave Financial planning services Why the company We're a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose - helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do. We encourage all of our people to "Be you at the company", we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That's why we especially encourage applications from people with diverse backgrounds and experiences. The company is a Level 2 Disability Confident Employer. This means we aim to offer an interview/assessment to every disabled applicant who meets the minimum criteria for the role. We'll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them.
10/07/2026
Full time
Job Description Senior Software Engineer - Maximus Salary: Up to £85K (depending on location and experience) Location status: Hybrid Working Location: Angel Court, London or the company Place, Manchester Role Type: Permanent Shift pattern: Full time, 35 hours per week At the company, we're helping people live longer, healthier, happier lives. Technology plays a vital role in how we support our customers, colleagues and healthcare services, creating experiences that are simple, efficient and secure. As a Senior Software Engineer - Maximus, you'll be part of our Group Technology team and play an important role in our digital transformation journey. You'll work within the Maximus Product team, building and improving solutions that help colleagues work more effectively across the business. This role offers the opportunity to work with modern Microsoft technologies, including Power Apps, Power Pages, Power Automate, SharePoint Online and Microsoft Copilot Studio. You'll collaborate closely with stakeholders to understand their needs, shape technical solutions and drive continuous improvement across products and services. Key Responsibilities Design, build, test and maintain applications using Microsoft Power Platform technologies Develop solutions using Power Apps, Power Pages, Power Automate, SharePoint Online and Dataverse Lead software design activities, ensuring solutions are secure, scalable and aligned to agreed standards Work with stakeholders to gather, review and prioritise requirements, helping shape effective business solutions Lead and contribute to code reviews, promoting quality and continuous improvement across the team Design and execute testing activities, supporting the delivery of reliable and high-quality software Plan, coordinate and support software releases, ensuring quality, security and compliance requirements are met Support complex system integrations and help improve development tools and processes Provide application support, troubleshoot issues and help maintain stable and effective services Share knowledge and encourage a culture of learning, collaboration and continuous improvement What We're Looking For Strong experience developing solutions using Microsoft Power Platform, including Power Apps, Power Automate, Power BI, SharePoint Online and Dataverse Experience designing and delivering complex software solutions in an enterprise environment Strong stakeholder management skills and the ability to build trusted working relationships Experience with Agile ways of working and modern software development practices Experience developing with technologies such as C#, .NET, JavaScript, React, HTML, CSS and Web APIs Experience working in test-driven development environments and applying quality-focused engineering practices Ability to balance technical excellence with practical business outcomes A proactive approach with excellent problem-solving and communication skills Nice to have: Experience with SharePoint Framework (SPFx) Experience with Microsoft Copilot Studio Knowledge of AI and machine learning capabilities within the Microsoft Power Platform Experience with ALM Accelerator for Power Platform Experience using Python or similar scripting and data transformation tools Knowledge of Microsoft 365 integration capabilities and Entra ID Benefits Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health - from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits. Joining the company in this role you will receive the following benefits and more: 25 days holiday, increasing through length of service, with option to buy or sell The company health insurance as a benefit in kind Enhanced pension plan and life insurance Onsite gyms or local discounts where no onsite gym available Various other benefits and online discounts Company pension Employee mentoring programme Free flu jabs Referral programme Canteen Private medical insurance Gym membership Health & wellbeing programme Cycle to work scheme Paid volunteer time Private dental insurance Additional leave Financial planning services Why the company We're a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose - helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do. We encourage all of our people to "Be you at the company", we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That's why we especially encourage applications from people with diverse backgrounds and experiences. The company is a Level 2 Disability Confident Employer. This means we aim to offer an interview/assessment to every disabled applicant who meets the minimum criteria for the role. We'll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them.
At Fractile, we're taking a revolutionary approach to computing to run the world's largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for Senior ML Compiler Engineers with experience in machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. You can be based in our Bristol office or London, the choice is yours. Why Fractile: We're building something that doesn't exist yet. Fractile isn't another AI startup gluing together frameworks. We are designing a full-stack execution engine: hardware, compiler, runtime, to build the world's largest language models 100 x faster than today's systems. That ambition forces us to rethink everything from first principles. For compiler engineers, this is a rare moment: the architecture is still being shaped. The IR, the lowering strategy, the optimisation passes, the execution model - you get to define its future. In this role, you will: Develop the machine learning compiler stack for Fractile's innovative AI acceleration hardware Enable industry leading performance of the latest LLMs on Fractile's accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware software co design methodology It would be great if you have: Proven experience of the development of machine learning compilers using industry standard technologies such as MLIR or TVM Up to date knowledge of machine learning techniques and technologies A good understanding of computer architecture and performance optimisation techniques Excellent C/C++ skills and solid experience of industry standard development tools and technologies Creative and innovative mindset, and a willingness to take ownership and drive results in a fast paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Previous experience in a startup or small team environment
10/07/2026
Full time
At Fractile, we're taking a revolutionary approach to computing to run the world's largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for Senior ML Compiler Engineers with experience in machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. You can be based in our Bristol office or London, the choice is yours. Why Fractile: We're building something that doesn't exist yet. Fractile isn't another AI startup gluing together frameworks. We are designing a full-stack execution engine: hardware, compiler, runtime, to build the world's largest language models 100 x faster than today's systems. That ambition forces us to rethink everything from first principles. For compiler engineers, this is a rare moment: the architecture is still being shaped. The IR, the lowering strategy, the optimisation passes, the execution model - you get to define its future. In this role, you will: Develop the machine learning compiler stack for Fractile's innovative AI acceleration hardware Enable industry leading performance of the latest LLMs on Fractile's accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware software co design methodology It would be great if you have: Proven experience of the development of machine learning compilers using industry standard technologies such as MLIR or TVM Up to date knowledge of machine learning techniques and technologies A good understanding of computer architecture and performance optimisation techniques Excellent C/C++ skills and solid experience of industry standard development tools and technologies Creative and innovative mindset, and a willingness to take ownership and drive results in a fast paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Previous experience in a startup or small team environment
