Software Engineer - C++ Title : Software Engineer - C++ Company : Elite Software House Location : Remote Salary : £80,000 - £115,000 Skills : C++, Algorithms, Boost Overview : Are you someone that thinks that writing slick, classy C++ code can and should be an art? Would you like to be part of an internationally recognised team of C++ experts led by the brightest C++ minds in the world? An elite software house click apply for full job details
Dec 09, 2025
Full time
Software Engineer - C++ Title : Software Engineer - C++ Company : Elite Software House Location : Remote Salary : £80,000 - £115,000 Skills : C++, Algorithms, Boost Overview : Are you someone that thinks that writing slick, classy C++ code can and should be an art? Would you like to be part of an internationally recognised team of C++ experts led by the brightest C++ minds in the world? An elite software house click apply for full job details
Service Controller / Advisor Spider is advertising on behalf of a very successful family run company working in the Commercial vehicle Sector. They are looking to recruit an experienced Service Controller / Advisor to join their team on a permanent full-time basis for their head office based in Colchester, Essex. Why them: A successful, family-run business with over 35 years experience in the Commercial Vehicle sector. They provide a comprehensive range of services and products for customers of all sizes, from large PLCs to single vehicle operators, staying up to date with the latest vehicle and ancillary technologies. The company invests in training, technology, and experienced people to deliver excellent service nationwide, guided by a team of directors and a strong management and technician team. Company Benefits: Competitive Salary: Salary from £30,000 per annum Holiday: 25 days holiday plus bank and public holidays Benefits: Opportunities for career development within a progressive Company, Supportive and dynamic team environment, Training in refrigeration service systems and scheduling tools About the role: As a Service Controller / Advisor you will be supporting the Refrigeration Service Department by coordinating service activities, managing engineer schedules, handling customer enquiries, and ensuring timely completion of maintenance and repair works. You will act as the link between clients, field engineers, and internal departments, and will manage service jobs, process reports, and track maintenance schedules. Working hours for this role are (Apply online only), Monday to Friday. Main Duties and Responsibilities: • Acting as the first point of contact for customer enquiries and service requests • Logging service calls accurately and providing clients with timely updates • Offering technical and administrative support on service contracts, job progress and reports • Creating and managing service jobs within the company s service management systems • Processing engineer job reports and service documentation for invoicing and compliance • Tracking and updating maintenance schedules and service contracts About you: As a Service Controller / Advisor you will have strong administrative and organisational skills, with the ability to multitask in a fast-paced service environment. You will have excellent communication and customer service skills and be confident working independently or as part of a team. Previous experience as a Service Coordinator, Service Advisor, or Controller within the Automotive, HVAC, or refrigeration industry would be an advantage but is not essential. You will be proficient in Microsoft Office and service management software. Understanding of refrigeration systems, HVAC terminology, and engineering service processes would be desirable but not essential. If you have the relevant skills and experience for the Service Controller / Advisor role and would like to join this company, then please apply by forwarding an up-to-date CV as soon as possible. We look forward to hearing from you. Please check your email inbox and spam / junk mail folder for any email correspondence for this role. If you require any reasonable adjustments such as access or information in an alternative format, please inform us soon as you are able so that we can make the appropriate adjustments. This vacancy is being advertised and handled through an Online Job Advertiser on our behalf. We both take your privacy seriously. When you apply, your details are processed and available for us to directly review for this vacancy. As you might expect you may be contacted by email, text, or telephone. For full Privacy Policy details please see email correspondences on receipt of your application.
Dec 09, 2025
Full time
Service Controller / Advisor Spider is advertising on behalf of a very successful family run company working in the Commercial vehicle Sector. They are looking to recruit an experienced Service Controller / Advisor to join their team on a permanent full-time basis for their head office based in Colchester, Essex. Why them: A successful, family-run business with over 35 years experience in the Commercial Vehicle sector. They provide a comprehensive range of services and products for customers of all sizes, from large PLCs to single vehicle operators, staying up to date with the latest vehicle and ancillary technologies. The company invests in training, technology, and experienced people to deliver excellent service nationwide, guided by a team of directors and a strong management and technician team. Company Benefits: Competitive Salary: Salary from £30,000 per annum Holiday: 25 days holiday plus bank and public holidays Benefits: Opportunities for career development within a progressive Company, Supportive and dynamic team environment, Training in refrigeration service systems and scheduling tools About the role: As a Service Controller / Advisor you will be supporting the Refrigeration Service Department by coordinating service activities, managing engineer schedules, handling customer enquiries, and ensuring timely completion of maintenance and repair works. You will act as the link between clients, field engineers, and internal departments, and will manage service jobs, process reports, and track maintenance schedules. Working hours for this role are (Apply online only), Monday to Friday. Main Duties and Responsibilities: • Acting as the first point of contact for customer enquiries and service requests • Logging service calls accurately and providing clients with timely updates • Offering technical and administrative support on service contracts, job progress and reports • Creating and managing service jobs within the company s service management systems • Processing engineer job reports and service documentation for invoicing and compliance • Tracking and updating maintenance schedules and service contracts About you: As a Service Controller / Advisor you will have strong administrative and organisational skills, with the ability to multitask in a fast-paced service environment. You will have excellent communication and customer service skills and be confident working independently or as part of a team. Previous experience as a Service Coordinator, Service Advisor, or Controller within the Automotive, HVAC, or refrigeration industry would be an advantage but is not essential. You will be proficient in Microsoft Office and service management software. Understanding of refrigeration systems, HVAC terminology, and engineering service processes would be desirable but not essential. If you have the relevant skills and experience for the Service Controller / Advisor role and would like to join this company, then please apply by forwarding an up-to-date CV as soon as possible. We look forward to hearing from you. Please check your email inbox and spam / junk mail folder for any email correspondence for this role. If you require any reasonable adjustments such as access or information in an alternative format, please inform us soon as you are able so that we can make the appropriate adjustments. This vacancy is being advertised and handled through an Online Job Advertiser on our behalf. We both take your privacy seriously. When you apply, your details are processed and available for us to directly review for this vacancy. As you might expect you may be contacted by email, text, or telephone. For full Privacy Policy details please see email correspondences on receipt of your application.
Locations : London Gurgaon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG is transforming the way our people experience technology through the power of Generative AI. Ava, our IT Support GenAI chatbot, is live and serving over 40,000 BCG users globally, helping employees get IT help faster, smarter, and more intuitively than ever before. As the Global IT Software Engineer Director - GenAI, you will play a hands-on role in building upon Ava's success. You will design, develop, and deliver high-impact GenAI solutions that expand Ava's capabilities and reach. You will serve as the technical counterpart to the Product Owner, accountable for delivery speed, quality, and ensuring alignment between the technical roadmap and product vision. You'll work across teams to scale Ava's impact and apply emerging GenAI technologies to improve IT service experiences for BCG's global workforce. YOU'RE GOOD AT Taking ownership and driving complex technical solutions from design through delivery. Being hands-on with modern cloud and AI technologies, while maintaining focus on delivery quality and scalability. Collaborating effectively with product managers, engineers, and architecture teams to translate business goals into practical solutions. Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities. Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges. What You'll Bring Full-stack engineering expertise with experience in cloud-native application development (AWS preferred). Hands-on experience in building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. Strong awareness of OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to partner across engineering, product, and governance teams. Bachelor's degree in computer science, engineering, or related field (or equivalent experience) Who You'll Work With You will be part of the IT & Business Platforms (ITBP) team, partnering closely with the Genie team (BCG's internal GenAI platform built on AWS), as well as the AI Center of Excellence (AI CoE), Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that transform how BCG's global employees engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 09, 2025
Full time
Locations : London Gurgaon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG is transforming the way our people experience technology through the power of Generative AI. Ava, our IT Support GenAI chatbot, is live and serving over 40,000 BCG users globally, helping employees get IT help faster, smarter, and more intuitively than ever before. As the Global IT Software Engineer Director - GenAI, you will play a hands-on role in building upon Ava's success. You will design, develop, and deliver high-impact GenAI solutions that expand Ava's capabilities and reach. You will serve as the technical counterpart to the Product Owner, accountable for delivery speed, quality, and ensuring alignment between the technical roadmap and product vision. You'll work across teams to scale Ava's impact and apply emerging GenAI technologies to improve IT service experiences for BCG's global workforce. YOU'RE GOOD AT Taking ownership and driving complex technical solutions from design through delivery. Being hands-on with modern cloud and AI technologies, while maintaining focus on delivery quality and scalability. Collaborating effectively with product managers, engineers, and architecture teams to translate business goals into practical solutions. Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities. Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges. What You'll Bring Full-stack engineering expertise with experience in cloud-native application development (AWS preferred). Hands-on experience in building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. Strong awareness of OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to partner across engineering, product, and governance teams. Bachelor's degree in computer science, engineering, or related field (or equivalent experience) Who You'll Work With You will be part of the IT & Business Platforms (ITBP) team, partnering closely with the Genie team (BCG's internal GenAI platform built on AWS), as well as the AI Center of Excellence (AI CoE), Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that transform how BCG's global employees engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : Stockholm Copenhagen V Berlin München London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a (Senior) AI Software Engineer you'll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following: +4 years of experience in a technology consulting environment Apply software development practices and standards to develop robust and maintainable software Actively involved in every part of the software development life cycle Experienced at guiding non-technical teams and consultants in and best practices for robust software development Optimize and enhance computational efficiency of algorithms and software design Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases Enjoy collaborating in teams to share software design and solution ideas A natural problem-solver and intellectually curious across a breadth of industries and topics Master's degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI) transformational journeys BCG does for its clients. Often involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional programming languages is a plus Additional info BCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, mental health offerings, a generous retirement program, financial guidance, paid time off, and more. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 09, 2025
Full time
Locations : Stockholm Copenhagen V Berlin München London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a (Senior) AI Software Engineer you'll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following: +4 years of experience in a technology consulting environment Apply software development practices and standards to develop robust and maintainable software Actively involved in every part of the software development life cycle Experienced at guiding non-technical teams and consultants in and best practices for robust software development Optimize and enhance computational efficiency of algorithms and software design Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases Enjoy collaborating in teams to share software design and solution ideas A natural problem-solver and intellectually curious across a breadth of industries and topics Master's degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI) transformational journeys BCG does for its clients. Often involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional programming languages is a plus Additional info BCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, mental health offerings, a generous retirement program, financial guidance, paid time off, and more. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Control Systems Engineer - Advanced Automated Machinery Region East Yorkshire Location: East Yorkshire HQ (with occasional overseas travel) Employment Type: Permanent Salary: Highly competitive Benefits: Flexible start times • 25 days' annual leave • Pension (4% employee / 4.5% employer) • Life assurance (8x salary) • Gym access • Eye care & health benefits The Company Our client is a well-established, family owned manufacturer specialising in high performance machinery for the packaging and print finishing sectors. With a strong international presence across Europe, North America, and various global markets, they continue to push boundaries in automation and mechanical innovation. Due to ongoing expansion and a commitment to engineering excellence, they are seeking an experienced Control Systems Engineer to strengthen their technical team. The Opportunity In this role, you'll be at the heart of developing the control architecture for bespoke, one off machines. This is a position for an engineer who excels in a special purpose / discrete manufacturing environment-not process or batch based industries. You'll be designing, refining, and supporting control systems across the full project lifecycle, ensuring exceptional machine performance and user friendly operation. You'll work closely with colleagues in mechanical engineering, software, production, and customer service, contributing to both new product development and ongoing improvements. The role also includes some international travel for commissioning, troubleshooting, and supporting installations at customer sites. What You'll Be Doing Engineering motion and automation control solutions for complex multi axis machinery Programming, testing, and refining PLC, motion, and HMI systems Creating intuitive HMI interfaces focused on operator usability and clarity Working collaboratively with multidisciplinary engineering teams Influencing the evolution of control system architecture and product enhancements Participating in commissioning activities and providing occasional on site technical assistance abroad Producing clear, comprehensive documentation for internal and external stakeholders About You Solid background in machine build, automation equipment, or special purpose machinery Strong technical understanding of motion control and multi axis systems Experience with Beckhoff or Bosch Rexroth platforms (highly advantageous) Ability to design clean, intuitive HMIs with user experience in mind Hands on knowledge of PLCs, drives, sensors, safety systems, and industrial networks Confidence in diagnosing faults, commissioning complex machines, and solving problems under pressure Clear communication and documentation skills Why It's a Great Move Join an internationally recognised engineering business with a reputation for innovation Work with cutting edge automation technologies in a hands on, practical environment Become part of a friendly, supportive, and family led company culture Enjoy the freedom to influence design decisions and real product improvements Be part of a business where your expertise and initiative genuinely matter Considering Relocating? Financial support towards moving expenses Advice on local housing and community amenities Practical help with planning your move and settling in If you're the right person for the team, they'll work with you to make the transition as smooth as possible-whether you're moving from elsewhere in the UK or overseas.
Dec 09, 2025
Full time
Control Systems Engineer - Advanced Automated Machinery Region East Yorkshire Location: East Yorkshire HQ (with occasional overseas travel) Employment Type: Permanent Salary: Highly competitive Benefits: Flexible start times • 25 days' annual leave • Pension (4% employee / 4.5% employer) • Life assurance (8x salary) • Gym access • Eye care & health benefits The Company Our client is a well-established, family owned manufacturer specialising in high performance machinery for the packaging and print finishing sectors. With a strong international presence across Europe, North America, and various global markets, they continue to push boundaries in automation and mechanical innovation. Due to ongoing expansion and a commitment to engineering excellence, they are seeking an experienced Control Systems Engineer to strengthen their technical team. The Opportunity In this role, you'll be at the heart of developing the control architecture for bespoke, one off machines. This is a position for an engineer who excels in a special purpose / discrete manufacturing environment-not process or batch based industries. You'll be designing, refining, and supporting control systems across the full project lifecycle, ensuring exceptional machine performance and user friendly operation. You'll work closely with colleagues in mechanical engineering, software, production, and customer service, contributing to both new product development and ongoing improvements. The role also includes some international travel for commissioning, troubleshooting, and supporting installations at customer sites. What You'll Be Doing Engineering motion and automation control solutions for complex multi axis machinery Programming, testing, and refining PLC, motion, and HMI systems Creating intuitive HMI interfaces focused on operator usability and clarity Working collaboratively with multidisciplinary engineering teams Influencing the evolution of control system architecture and product enhancements Participating in commissioning activities and providing occasional on site technical assistance abroad Producing clear, comprehensive documentation for internal and external stakeholders About You Solid background in machine build, automation equipment, or special purpose machinery Strong technical understanding of motion control and multi axis systems Experience with Beckhoff or Bosch Rexroth platforms (highly advantageous) Ability to design clean, intuitive HMIs with user experience in mind Hands on knowledge of PLCs, drives, sensors, safety systems, and industrial networks Confidence in diagnosing faults, commissioning complex machines, and solving problems under pressure Clear communication and documentation skills Why It's a Great Move Join an internationally recognised engineering business with a reputation for innovation Work with cutting edge automation technologies in a hands on, practical environment Become part of a friendly, supportive, and family led company culture Enjoy the freedom to influence design decisions and real product improvements Be part of a business where your expertise and initiative genuinely matter Considering Relocating? Financial support towards moving expenses Advice on local housing and community amenities Practical help with planning your move and settling in If you're the right person for the team, they'll work with you to make the transition as smooth as possible-whether you're moving from elsewhere in the UK or overseas.
About Us Kaizan's vision is to build an AI that augments the intelligence of people, helping them and their team solve their hardest challenges and continuously improve. Kaizan's AI learns from the collective activity of everyone to coach and guide you and your team on what to do. Kaizan generates suggestions to achieve the team's goals together, and how its people can improve skills and behaviours, increasing their cohesion, alignment and purpose. We are building an entirely different way of engaging and aligning with people at work . We are looking for people who can think outside the box as you'll be responsible for deciding how people best interface with an AI that guides behaviours. Kaizan exists to optimise the performance of people and help them fulfil their potential. We are early in our journey, so you will have an opportunity to shape not just our product, but the company itself; who we work with, and how we work together. What will you be doing? We are looking for a generalist software engineer who will be responsible for, Building the product- You will be working with the engineering, design and product team to plan, architect and implement our core product. We'll iterate as a team on the product experience to get it just right, while also ensuring we're maintaining the codebase so we can move fast. Setting the engineering foundation- You will be instrumental in defining the strategy, design and architecture of the various systems. As an early engineer, you'll have a prominent voice in all engineering decisions. Growing the team- Everyone on the early team plays an important role in attracting, closing, and growing other talented team members. The biggest factor in our ability to build amazing products is the team, so we look to you to help set the example for the kind of team we all want to build together. Is this the job for you? Generalist- We are looking for someone who is comfortable working across the stack and isn't afraid to dip their toes into unfamiliar territory. We are building a complex product at an internet scale that uses Natural Language Processing and Artificial Intelligence that needs production quality deployment, monitoring, reliability and availability. Our tech stack currently uses Python, NLTK, GPT-3 and Dart / Flutter. Experience and passion in all or any of these is a must. Senior role- This is a senior role. We are looking for people who have been there and done it so that they can help us choose the shortest successful paths while avoiding meaningless cycles (yes, we just came up with a comp sci joke in a job advert), who have a comprehensive knowledge of engineering patterns, (and know when to break them). And people who are comfortable leading and motivating a small team of engineers, and who can help attract, mentor and grow their team. Track record- We are looking for people who can demonstrate how they have shipped great products and understand what matters at each stage of the release cycle. Who are pragmatic and can find a balance between moving fast and building for the future. We are looking for a driven self-starter, someone who is a great communicator with amazing follow-through and who loves the responsibility of being individually empowered. We are headquartered in London. We are remote first, however this is not a remote-only role for now. We will be meeting regularly during the early stages of our journey so your ability to travel to London is important.
Dec 09, 2025
Full time
About Us Kaizan's vision is to build an AI that augments the intelligence of people, helping them and their team solve their hardest challenges and continuously improve. Kaizan's AI learns from the collective activity of everyone to coach and guide you and your team on what to do. Kaizan generates suggestions to achieve the team's goals together, and how its people can improve skills and behaviours, increasing their cohesion, alignment and purpose. We are building an entirely different way of engaging and aligning with people at work . We are looking for people who can think outside the box as you'll be responsible for deciding how people best interface with an AI that guides behaviours. Kaizan exists to optimise the performance of people and help them fulfil their potential. We are early in our journey, so you will have an opportunity to shape not just our product, but the company itself; who we work with, and how we work together. What will you be doing? We are looking for a generalist software engineer who will be responsible for, Building the product- You will be working with the engineering, design and product team to plan, architect and implement our core product. We'll iterate as a team on the product experience to get it just right, while also ensuring we're maintaining the codebase so we can move fast. Setting the engineering foundation- You will be instrumental in defining the strategy, design and architecture of the various systems. As an early engineer, you'll have a prominent voice in all engineering decisions. Growing the team- Everyone on the early team plays an important role in attracting, closing, and growing other talented team members. The biggest factor in our ability to build amazing products is the team, so we look to you to help set the example for the kind of team we all want to build together. Is this the job for you? Generalist- We are looking for someone who is comfortable working across the stack and isn't afraid to dip their toes into unfamiliar territory. We are building a complex product at an internet scale that uses Natural Language Processing and Artificial Intelligence that needs production quality deployment, monitoring, reliability and availability. Our tech stack currently uses Python, NLTK, GPT-3 and Dart / Flutter. Experience and passion in all or any of these is a must. Senior role- This is a senior role. We are looking for people who have been there and done it so that they can help us choose the shortest successful paths while avoiding meaningless cycles (yes, we just came up with a comp sci joke in a job advert), who have a comprehensive knowledge of engineering patterns, (and know when to break them). And people who are comfortable leading and motivating a small team of engineers, and who can help attract, mentor and grow their team. Track record- We are looking for people who can demonstrate how they have shipped great products and understand what matters at each stage of the release cycle. Who are pragmatic and can find a balance between moving fast and building for the future. We are looking for a driven self-starter, someone who is a great communicator with amazing follow-through and who loves the responsibility of being individually empowered. We are headquartered in London. We are remote first, however this is not a remote-only role for now. We will be meeting regularly during the early stages of our journey so your ability to travel to London is important.
Engineering Manager Purpose of job: To lead multi-disciplinary engineering teams with respect to the planning and delivery of ATLAS UK bids, projects and product developments. Reporting relationships: Engineering Head of Delivery / Engineering Head of Division Staff responsibility: No line management - responsible for managing the overall engineering team in line with the specific bid or project. Location: Dorset Innovation Park, Winfrith Newburgh, Dorchester DT2 8ZB Employment status: Permanent At TKMS ATLAS UK, we support our staff to create work-life balance and encourage applications from individuals who are looking for part time or condensed hours as well as full-time opportunities Knowledge and experience (will be developed in the job role if not held) Expert knowledge of ATLAS UK products and components across the design, development, qualification and acceptance phases. Significant evidence of leadership across internal engineering resource and sub-contractors in the planning and development of ATLAS UK products. Specialist engineering knowledge (in one or more of the following areas Mechanical / Electrical/Systems / Electronics / Software) The implementation of engineering lifecycles and robust system engineering processes within a product development environment Planning and leading engineering work-package and delivery projects Leading engineering design activities and providing engineering support throughout the design, test and acceptance phases to ensure specifications are met, problem areas and risks are identified, and design is fit for purpose Leadership of the technical concept development of innovative solutions to meet challenging technical requirements Generating design specifications and technical procurement specifications Documenting the design process including demonstrating the verification of system requirements Understanding the application of project management principles and practice Technical management delivery experience as a supplier/integrator. Understanding of estimation, costing, pricing, contract, tender and bid processes Key accountabilities may include Development of the engineering technical solution and associated costs, risks and programmes for the subsequent delivery of engineering work-packages Delivery of technical outputs to time, cost and quality; applying project management methodologies and system engineering principles Building and developing positive relationships with a wide range of internal and external stakeholders Management of the engineering teams to deliver agreed work packages including meetings, reporting, resource and issues management in accordance with ATLAS UK processes Reporting on the team's delivery with respect to cost, schedule, quality and risk to the overall project team and engineering division management Behavioural requirements Highly motivated, energetic, able to see the big picture. Effective time management within a multi-tasking environment. Strive to deliver innovation and best practice. The ability to work effectively within a growing, changing workplace. Consistently sound judgement and decision making. Promotes a "can do" attitude. Energy to increase the capability to deliver and improve business results. Use expertise and knowledge to make a strong contribution to bids and projects. Strive to exceed stakeholder expectations. Have a good working relationship with team members and suppliers Qualifications and skills Excellent written skills, including writing bids and technical reports Excellent communication skills, including giving presentations More information The successful candidate must be able to achieve full SC (Security Clearance). Due to the nature of our work and the projects you will be working on, all candidates must be eligible to gain security clearance. TKMS ATLAS UK is an Equal Opportunities employer and welcomes applications for all posts from suitably qualified people regardless of age, disability, ethnicity, gender, marital status, sexual orientation, religion or belief. Only successful applicants will be contacted. JBRP1_UKTJ
Dec 09, 2025
Full time
Engineering Manager Purpose of job: To lead multi-disciplinary engineering teams with respect to the planning and delivery of ATLAS UK bids, projects and product developments. Reporting relationships: Engineering Head of Delivery / Engineering Head of Division Staff responsibility: No line management - responsible for managing the overall engineering team in line with the specific bid or project. Location: Dorset Innovation Park, Winfrith Newburgh, Dorchester DT2 8ZB Employment status: Permanent At TKMS ATLAS UK, we support our staff to create work-life balance and encourage applications from individuals who are looking for part time or condensed hours as well as full-time opportunities Knowledge and experience (will be developed in the job role if not held) Expert knowledge of ATLAS UK products and components across the design, development, qualification and acceptance phases. Significant evidence of leadership across internal engineering resource and sub-contractors in the planning and development of ATLAS UK products. Specialist engineering knowledge (in one or more of the following areas Mechanical / Electrical/Systems / Electronics / Software) The implementation of engineering lifecycles and robust system engineering processes within a product development environment Planning and leading engineering work-package and delivery projects Leading engineering design activities and providing engineering support throughout the design, test and acceptance phases to ensure specifications are met, problem areas and risks are identified, and design is fit for purpose Leadership of the technical concept development of innovative solutions to meet challenging technical requirements Generating design specifications and technical procurement specifications Documenting the design process including demonstrating the verification of system requirements Understanding the application of project management principles and practice Technical management delivery experience as a supplier/integrator. Understanding of estimation, costing, pricing, contract, tender and bid processes Key accountabilities may include Development of the engineering technical solution and associated costs, risks and programmes for the subsequent delivery of engineering work-packages Delivery of technical outputs to time, cost and quality; applying project management methodologies and system engineering principles Building and developing positive relationships with a wide range of internal and external stakeholders Management of the engineering teams to deliver agreed work packages including meetings, reporting, resource and issues management in accordance with ATLAS UK processes Reporting on the team's delivery with respect to cost, schedule, quality and risk to the overall project team and engineering division management Behavioural requirements Highly motivated, energetic, able to see the big picture. Effective time management within a multi-tasking environment. Strive to deliver innovation and best practice. The ability to work effectively within a growing, changing workplace. Consistently sound judgement and decision making. Promotes a "can do" attitude. Energy to increase the capability to deliver and improve business results. Use expertise and knowledge to make a strong contribution to bids and projects. Strive to exceed stakeholder expectations. Have a good working relationship with team members and suppliers Qualifications and skills Excellent written skills, including writing bids and technical reports Excellent communication skills, including giving presentations More information The successful candidate must be able to achieve full SC (Security Clearance). Due to the nature of our work and the projects you will be working on, all candidates must be eligible to gain security clearance. TKMS ATLAS UK is an Equal Opportunities employer and welcomes applications for all posts from suitably qualified people regardless of age, disability, ethnicity, gender, marital status, sexual orientation, religion or belief. Only successful applicants will be contacted. JBRP1_UKTJ
Role Purpose Work as part of a skilled team to build and fabricate machinery, tooling, and equipment to required specifications and standards. Meet production deadlines and performance targets. Identify and resolve issues, particularly on non-standard equipment. Carry out testing to ensure machinery and equipment are safe, functional, and compliant. Key Responsibilities Build and fabricate standard and bespoke machinery, tooling, and equipment to a high standard. Ensure all work meets specification requirements and agreed deadlines. Conduct thorough testing and inspection to confirm equipment is safe and fully operational. Complete all documentation accurately, ensuring all test data is correctly recorded. Manage orders: review and print work orders, source parts, chase delays, and schedule workloads to meet customer delivery dates. Record parts usage and labour time accurately within the MRP system. Provide feedback to the design team on engineering solutions and build issues. Offer technical support to customers over the phone to assist in troubleshooting. Assist with machinery repairs and servicing both on-site and off-site. Keep the working environment clean, organised, and safe. Follow all health and safety procedures and ensure appropriate PPE is worn at all times. Competencies Ability to interpret technical documentation and use it to improve processes. High level of competence in building equipment to precise customer requirements. Consistent adherence to health and safety standards, supporting others to do the same. Strong time-management skills, able to meet deadlines in a fast-changing environment. Confident using computer systems, including specialist engineering software. Skilled in reading and interpreting technical drawings to identify parts, assemblies, and build requirements. Person Specification Qualifications & Knowledge Minimum 5 GCSEs (or equivalent) at Grade C/4 or above, including Maths, English, and Science. Level 3 BTEC in Engineering or two A-Levels (or equivalent) in technology-related subjects (desirable). Practical hands-on experience in mechanical, electrical, or fabrication work. Theoretical understanding of mechanical, electrical, fabrication, or general engineering principles. Knowledge of manufacturing processes, equipment build, commissioning, and testing workflows. Up-to-date awareness of relevant legislation and standards. Skills & Abilities Strong manual handling skills. Ability to interpret information and technical data for engineering tasks. Accurate completion of paperwork and confident use of document management systems. Good computer literacy, including engineering-related software. Able to work under pressure and around noisy machinery. Excellent attention to detail and precision assembly skills. Ability to work efficiently, accurately, and maintain focus during repetitive tasks. 2 Positions are available 1 x Mechanical Workshop Technician and 1 x Electrical Workshop Technician If you are an Mechanical or Electrical Techncian experience and are currently looking for a new challenge, then please submit an up to date CV by clicking the apply button. By applying for this position, you confirm that you consent to the processing of your personal data in accordance with the General Data Protection Regulation (GDPR) for the purposes of recruitment, employment and working finding service.
Dec 09, 2025
Full time
Role Purpose Work as part of a skilled team to build and fabricate machinery, tooling, and equipment to required specifications and standards. Meet production deadlines and performance targets. Identify and resolve issues, particularly on non-standard equipment. Carry out testing to ensure machinery and equipment are safe, functional, and compliant. Key Responsibilities Build and fabricate standard and bespoke machinery, tooling, and equipment to a high standard. Ensure all work meets specification requirements and agreed deadlines. Conduct thorough testing and inspection to confirm equipment is safe and fully operational. Complete all documentation accurately, ensuring all test data is correctly recorded. Manage orders: review and print work orders, source parts, chase delays, and schedule workloads to meet customer delivery dates. Record parts usage and labour time accurately within the MRP system. Provide feedback to the design team on engineering solutions and build issues. Offer technical support to customers over the phone to assist in troubleshooting. Assist with machinery repairs and servicing both on-site and off-site. Keep the working environment clean, organised, and safe. Follow all health and safety procedures and ensure appropriate PPE is worn at all times. Competencies Ability to interpret technical documentation and use it to improve processes. High level of competence in building equipment to precise customer requirements. Consistent adherence to health and safety standards, supporting others to do the same. Strong time-management skills, able to meet deadlines in a fast-changing environment. Confident using computer systems, including specialist engineering software. Skilled in reading and interpreting technical drawings to identify parts, assemblies, and build requirements. Person Specification Qualifications & Knowledge Minimum 5 GCSEs (or equivalent) at Grade C/4 or above, including Maths, English, and Science. Level 3 BTEC in Engineering or two A-Levels (or equivalent) in technology-related subjects (desirable). Practical hands-on experience in mechanical, electrical, or fabrication work. Theoretical understanding of mechanical, electrical, fabrication, or general engineering principles. Knowledge of manufacturing processes, equipment build, commissioning, and testing workflows. Up-to-date awareness of relevant legislation and standards. Skills & Abilities Strong manual handling skills. Ability to interpret information and technical data for engineering tasks. Accurate completion of paperwork and confident use of document management systems. Good computer literacy, including engineering-related software. Able to work under pressure and around noisy machinery. Excellent attention to detail and precision assembly skills. Ability to work efficiently, accurately, and maintain focus during repetitive tasks. 2 Positions are available 1 x Mechanical Workshop Technician and 1 x Electrical Workshop Technician If you are an Mechanical or Electrical Techncian experience and are currently looking for a new challenge, then please submit an up to date CV by clicking the apply button. By applying for this position, you confirm that you consent to the processing of your personal data in accordance with the General Data Protection Regulation (GDPR) for the purposes of recruitment, employment and working finding service.
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Representative Projects Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy. You may be a good fit if you Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have 100% of the skills needed to perform the job Formal certifications or education credentials Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We sponsor visas. However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Dec 09, 2025
Full time
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Representative Projects Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy. You may be a good fit if you Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have 100% of the skills needed to perform the job Formal certifications or education credentials Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We sponsor visas. However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Overview Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role: This is more than a management role; it's a leadership opportunity. You will lead a diverse team of Data Scientists and Operations Research Scientists across Europe and North America, acting as the primary architect of their culture. Your mission is to build an environment of high psychological safety where curiosity and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver extraordinary results while building a cohesive, collaborative unit that transcends geographic boundaries. You won't do this alone. You will act as a key strategic partner to Product and Engineering, translating high-level business goals into a clear, actionable technical roadmap for your team. You will be the bridge between the business and the technical world, connecting with and influencing stakeholders to ensure your team's work is aligned with our business goals, while championing our commitment to responsible innovation and ensuring that principles of fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership: Proven experience leading complex technical projects, with a track record of successfully evolving existing systems and innovating with new solutions. MLOps & Modern Practices: Strong understanding of modern data science and MLOps practices, including model lifecycle management, experimentation, and CI/CD. Core Programming & Software Craftsmanship: Proficiency in Python and SQL, with a strong grasp of software development best practices (testing, git, code reviews). Real-Time Systems Experience: Experience with real-time data integration and machine learning frameworks is highly beneficial. Modern AI Acumen: Familiarity with the principles and applications of modern AI, including Large Language Models (LLMs) and generative AI, is a strong plus. Domain-Specific Knowledge: A solid understanding of forecasting techniques is required; experience with mathematical optimization is a strong plus. Soft skills: Exceptional leadership and mentorship skills: A genuine passion for cultivating talent. You have a proven track record of developing team members through coaching and creating clear, compelling career paths for both individual contributors and future managers. A constructive and resilient mindset: The ability to step into a complex situation, create clarity, and drive a team towards a clear and ambitious goal. Intellectual Humility: A confident awareness of your own limitations and the ability to lead a team of deep experts. You foster a meritocracy of ideas and are comfortable saying "I don't know." A holistic project approach: The ability to manage technical debt, stakeholder expectations, and long-term strategic roadmaps. Strong critical analysis: The ability to analyze technical approaches, assumptions, and business impact, with the drive to make tough decisions and find simple, effective solutions. Expertise in agile and remote-first environments: Exceptional collaborative skills are a must. Excellent communication skills: The ability to advise, challenge, and influence senior stakeholders. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Dec 09, 2025
Full time
Overview Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role: This is more than a management role; it's a leadership opportunity. You will lead a diverse team of Data Scientists and Operations Research Scientists across Europe and North America, acting as the primary architect of their culture. Your mission is to build an environment of high psychological safety where curiosity and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver extraordinary results while building a cohesive, collaborative unit that transcends geographic boundaries. You won't do this alone. You will act as a key strategic partner to Product and Engineering, translating high-level business goals into a clear, actionable technical roadmap for your team. You will be the bridge between the business and the technical world, connecting with and influencing stakeholders to ensure your team's work is aligned with our business goals, while championing our commitment to responsible innovation and ensuring that principles of fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership: Proven experience leading complex technical projects, with a track record of successfully evolving existing systems and innovating with new solutions. MLOps & Modern Practices: Strong understanding of modern data science and MLOps practices, including model lifecycle management, experimentation, and CI/CD. Core Programming & Software Craftsmanship: Proficiency in Python and SQL, with a strong grasp of software development best practices (testing, git, code reviews). Real-Time Systems Experience: Experience with real-time data integration and machine learning frameworks is highly beneficial. Modern AI Acumen: Familiarity with the principles and applications of modern AI, including Large Language Models (LLMs) and generative AI, is a strong plus. Domain-Specific Knowledge: A solid understanding of forecasting techniques is required; experience with mathematical optimization is a strong plus. Soft skills: Exceptional leadership and mentorship skills: A genuine passion for cultivating talent. You have a proven track record of developing team members through coaching and creating clear, compelling career paths for both individual contributors and future managers. A constructive and resilient mindset: The ability to step into a complex situation, create clarity, and drive a team towards a clear and ambitious goal. Intellectual Humility: A confident awareness of your own limitations and the ability to lead a team of deep experts. You foster a meritocracy of ideas and are comfortable saying "I don't know." A holistic project approach: The ability to manage technical debt, stakeholder expectations, and long-term strategic roadmaps. Strong critical analysis: The ability to analyze technical approaches, assumptions, and business impact, with the drive to make tough decisions and find simple, effective solutions. Expertise in agile and remote-first environments: Exceptional collaborative skills are a must. Excellent communication skills: The ability to advise, challenge, and influence senior stakeholders. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 09, 2025
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : Boston London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Global Delivery Director - Secure Data is a critical leadership role that enables the secure foundation of BCG's digital operations globally. By driving scalable, automated, and user-focused security engineering-and by embedding security into modern engineering and operational practices-this role ensures BCG can innovate securely while maintaining trust, compliance, and operational excellence. The Global Delivery Director - Secure Data is responsible for leading the design, delivery, and continuous evolution of BCG's data security strategy and controls. This role ensures that BCG's most sensitive data is protected globally through secure-by-design engineering, automation at scale, and resilient security platforms. The Director will drive strategic planning, execution, and operations of scalable, automated, and resilient security solutions that safeguard BCG's global operations and users, while enabling innovation and agility across BCG Core, BCG X, and CT worldwide. This role is accountable for embedding security within DevSecOps practices, applying Site Reliability Engineering (SRE) principles across all security services, and aligning with privacy, compliance, and business leaders to maintain trust and regulatory compliance. Key Responsibilities: Strategic Leadership & Transformation: Define and execute a unified security engineering strategy that addresses data protection across all environments and data lifecycle stages. Lead the design and implementation of scalable, automated solutions that integrate seamlessly into enterprise platforms and user experiences. Establish a global security architecture and engineering roadmap focused on prevention, detection, and rapid response. Drive continuous improvement of security posture while aligning with business needs, regulatory requirements, and user experience expectations. Champion DevSecOps practices to embed security early into development and delivery workflows. Data Security Engineering: Build and operate scalable data protection solutions, including data loss prevention (DLP), secrets management, encryption, and classification. Collaborate with the IAM team to align authentication, authorization, and privileged access policies with data security controls. Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and protection of sensitive data in AI/ML workloads. Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and incident response readiness. Embed security telemetry and observability to enable proactive threat detection and automated response. Apply SRE principles to improve reliability, performance, and maintainability of security services. Define service level objectives (SLOs) and key performance indicators (KPIs) for all security services. Compliance, Governance & Risk Management: Ensure alignment with global compliance requirements such as ISO 27001, NIST, SOC 2, GDPR, and others. Partner with governance, legal, and ISRM teams to implement enforceable policies and standards across identity, endpoint, and data domains. Implement automated compliance controls and continuous assurance checks. Lead risk mitigation efforts with technical solutions that scale across diverse user and system profiles. Financial & Vendor Management: Manage security platform budgets and investments with a focus on cost optimization and long-term value. Evaluate and manage third-party vendors and partners, ensuring they meet technical, contractual, and security expectations. Lead procurement and renewal cycles in alignment with operational and architectural strategies. Leadership & Talent Development: Build and mentor a global team of security engineers, fostering a high-performance, collaborative, and forward-thinking culture. Drive internal knowledge sharing and upskilling programs across the team. Collaborate cross-functionally with platform, product, and enterprise architecture teams to embed security early and often. What You'll Bring Required Qualifications: 10+ years of experience in cybersecurity, security engineering, or platform security roles. 5+ years in a senior leadership position with accountability for enterprise-scale security platforms. Deep expertise in data protection technologies, with proven ability to design and scale global solutions. Experience with security engineering in hybrid and cloud-native environments (AWS, Azure, GCP). Proven track record in automating security controls, implementing zero-trust models, and supporting 24x7 security operations. Strong understanding of compliance frameworks and risk management strategies. Demonstrated ability to present complex security topics to executive leadership. Preferred Qualifications: Certifications such as CISSP, CCSP, CISM, AWS/Azure Security Specialty, or equivalent. Experience with tools like Symantec DLP, Zscaler CASB, MS Purview, Palo Alto Prisma, Hashi Vault and other modern security platforms. Familiarity with DevSecOps principles, Infrastructure as Code, and secure software development practices. Who You'll Work With Work Environment & Additional Information: Hybrid or on-site work model. Occasional travel may be required for business, vendor, or team engagement. Ability to operate in a fast-paced, complex environment, balancing long-term strategy with operational agility. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $181,000.00 - $221,000.00 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 30% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 09, 2025
Full time
Locations : Boston London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Global Delivery Director - Secure Data is a critical leadership role that enables the secure foundation of BCG's digital operations globally. By driving scalable, automated, and user-focused security engineering-and by embedding security into modern engineering and operational practices-this role ensures BCG can innovate securely while maintaining trust, compliance, and operational excellence. The Global Delivery Director - Secure Data is responsible for leading the design, delivery, and continuous evolution of BCG's data security strategy and controls. This role ensures that BCG's most sensitive data is protected globally through secure-by-design engineering, automation at scale, and resilient security platforms. The Director will drive strategic planning, execution, and operations of scalable, automated, and resilient security solutions that safeguard BCG's global operations and users, while enabling innovation and agility across BCG Core, BCG X, and CT worldwide. This role is accountable for embedding security within DevSecOps practices, applying Site Reliability Engineering (SRE) principles across all security services, and aligning with privacy, compliance, and business leaders to maintain trust and regulatory compliance. Key Responsibilities: Strategic Leadership & Transformation: Define and execute a unified security engineering strategy that addresses data protection across all environments and data lifecycle stages. Lead the design and implementation of scalable, automated solutions that integrate seamlessly into enterprise platforms and user experiences. Establish a global security architecture and engineering roadmap focused on prevention, detection, and rapid response. Drive continuous improvement of security posture while aligning with business needs, regulatory requirements, and user experience expectations. Champion DevSecOps practices to embed security early into development and delivery workflows. Data Security Engineering: Build and operate scalable data protection solutions, including data loss prevention (DLP), secrets management, encryption, and classification. Collaborate with the IAM team to align authentication, authorization, and privileged access policies with data security controls. Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and protection of sensitive data in AI/ML workloads. Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and incident response readiness. Embed security telemetry and observability to enable proactive threat detection and automated response. Apply SRE principles to improve reliability, performance, and maintainability of security services. Define service level objectives (SLOs) and key performance indicators (KPIs) for all security services. Compliance, Governance & Risk Management: Ensure alignment with global compliance requirements such as ISO 27001, NIST, SOC 2, GDPR, and others. Partner with governance, legal, and ISRM teams to implement enforceable policies and standards across identity, endpoint, and data domains. Implement automated compliance controls and continuous assurance checks. Lead risk mitigation efforts with technical solutions that scale across diverse user and system profiles. Financial & Vendor Management: Manage security platform budgets and investments with a focus on cost optimization and long-term value. Evaluate and manage third-party vendors and partners, ensuring they meet technical, contractual, and security expectations. Lead procurement and renewal cycles in alignment with operational and architectural strategies. Leadership & Talent Development: Build and mentor a global team of security engineers, fostering a high-performance, collaborative, and forward-thinking culture. Drive internal knowledge sharing and upskilling programs across the team. Collaborate cross-functionally with platform, product, and enterprise architecture teams to embed security early and often. What You'll Bring Required Qualifications: 10+ years of experience in cybersecurity, security engineering, or platform security roles. 5+ years in a senior leadership position with accountability for enterprise-scale security platforms. Deep expertise in data protection technologies, with proven ability to design and scale global solutions. Experience with security engineering in hybrid and cloud-native environments (AWS, Azure, GCP). Proven track record in automating security controls, implementing zero-trust models, and supporting 24x7 security operations. Strong understanding of compliance frameworks and risk management strategies. Demonstrated ability to present complex security topics to executive leadership. Preferred Qualifications: Certifications such as CISSP, CCSP, CISM, AWS/Azure Security Specialty, or equivalent. Experience with tools like Symantec DLP, Zscaler CASB, MS Purview, Palo Alto Prisma, Hashi Vault and other modern security platforms. Familiarity with DevSecOps principles, Infrastructure as Code, and secure software development practices. Who You'll Work With Work Environment & Additional Information: Hybrid or on-site work model. Occasional travel may be required for business, vendor, or team engagement. Ability to operate in a fast-paced, complex environment, balancing long-term strategy with operational agility. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $181,000.00 - $221,000.00 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 30% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
2025 sees MoneyGram Haas F1 Team celebrate its tenth season in the FIA Formula 1 World Championship we're just getting started. We don't follow the status quo, we're here to challenge the competition, and we want you to join us. The first American Formula 1 team to compete in the sport since 1986, MoneyGram Haas F1 Team made an immediate impression with a memorable points-scoring debut at the 2016 Australian Grand Prix. Nine years later, and the team continues to demonstrate growth and a clear direction with its future objectives - coming off the back of its second-best season to-date in Formula 1. We're a racing team - not a corporate machine. We have three HQs - Kannapolis in the US, Banbury in the UK and Maranello in Italy - each powered by passionate, loyal and hardworking team ambassadors. At MoneyGram Haas F1 Team - known within the paddock as the 'family team' - you'll be involved in many different areas of the team, have much wider visibility across the business, and will be able to clearly see your contribution to our team. Yes, you'll learn from us, but we expect to learn from you too! General Summary: This position reports to the Head of Vehicle Science or their designee and is based in Banbury, UK. The position involves design, development, and application of advanced simulation tools with a strong focus on tyres, and any such tools that are used in the continuous improvement of the performance of car. This position requires support during race weekends from factory and attendance to a limited number of trackside races and tests. Key Responsibilities: General Promote teamwork and effective communications to develop working relationships between all personnel and departments. Follow all safety regulations in all venues. Other duties as assigned by the Head of Vehicle Science or designee. Factory Design, develop and continually assess the correlation of both physical and empirical tyre models whilst conducting research to seek improvements on the modelling techniques. Support the Design Office and other departments in the design of cars and tools with simulations and data driven approaches. Design, development, and correlation of tools aimed at analysing the tyre performance on track, on the rigs and when used on simulation tools (i.e. lap sim, DIL, HIL, etc). Collaborate with software engineers on the design and development of tools used to monitor the performance of tyres. Develop the necessary infrastructure for fitting physical and empirical tyre models to track and/or rig data. Manage and maintain the tyre catalogues to provide a comprehensive set of parameters, populate all simulation and analysis tools with the most precise and up-to-date information. Lead the monitoring of the performance of all sensors directly and indirectly related to tyres. Lead and maintain any collaboration with Electronics and Control System departments in detecting and reporting malfunctioning of sensors. Propose solutions and/or support the investigation with a data driven approach. Supervise and mentor junior engineers with their contribution to the team activities. Trackside Formulate pre-event simulations and reporting to support Race Engineering with the event preparation. Complete post-event analysis and reporting of tyre performance with focus on improving the performance of the tyres and the tools involved. Support race and test event through the entire weekend by following the sessions live from the factory or at the track. Assist Race Engineering, Vehicle Performance and Strategy departments to monitor and optimize the car performance. Support Race Engineering by providing the tyre performance analysis report and answer to specific focus points when requested at the end of each session. Collaborate and assist Electronics and Control Systems department to monitor live the performance of sensors directly and indirectly related to tyres. Testing Propose tyre test items, for all trackside testing opportunities and report the findings with a data driven approach. Review of the testing techniques and suggest changes for improvements. Responsible for the management of projects; from outsourced bench testing activities: define objectives, test plans, data post-processing, analysis and reporting. Work with internal and external test engineers to improve experimental test facilities and processes. Education and Work Experience: Comprehensive knowledge of all onboard sensors and instrumentations generally used to monitor tyres performance and operating conditions. Extensive Vehicle Dynamics experience. Accurate understanding of techniques for analysis in the frequency and special domains. In-depth knowledge of tyre thermal and mechanical modelling techniques. Specialized Knowledge and Skills: Strong communication skills, written and verbal. Strong technical background in engineering, applied mathematics and physics. Strong technical background in racing car. Work to a consistently high standard in stressful and time sensitive situations. Quick decision-making skills whilst working through problems in a scientific and analytical way. Work well within a team environment with personnel at all levels. A sympathetic approach to your work colleagues and an ability to integrate within a group environment. A can do positive approach and a willingness to help others is essential. Equipment and Applications: Good to advanced experience and knowledge of Matlab & Simulink and C#. Innovative understanding of Atlas. Good to advanced knowledge of MAT products to enable management application in vTAG environment like System Monitor and GDE libraries. Beginner level in VB (for excel). Work Environment Physical Demands: An ability to work and prioritize within a high pressure, time sensitive environment while retaining a methodical approach is essential. The role may require occasional domestic and international travel and a willingness to work long and flexible hours including weekends. This position may require lifting to 50 pounds, repeated bending, squatting and manual dexterity. Fast paced work environment requiring heavy mental demands. Work environment includes machinery, race cars, 7 post and other rigs, grinding debris, and hazardous fluids. All employees must ensure compliance with the Company Health and Safety Policy, and all relevant other statutory Health and Safety legislation. Notice Due to the nature of the organisation, all employees of MoneyGram Haas F1 Team are required to be security cleared to National Security Vetting standards. If successful in your application, we would support you with the NSV process. As a guideline only, you would normally need to have been a UK resident for the last 5 consecutive years. Further confirmation can be found on the Civil Aviation Authority National Security Vetting (NSV) website At MoneyGram Haas F1 Team, we consider our employees our greatest asset. We strive to create a supportive and inclusive work environment where everyone can thrive and grow. We value diversity and encourage our employees to bring their unique perspectives and experiences to the conversation. Diversity, Equality, and Inclusion are fundamental to who we are as a company and a collective of colleagues. Our commitment to these ethics is steadfast and this promise travels with us wherever we are in the world. We look after our team with multiple rewards packages, competitive bonuses and year round health and wellbeing programs, providing you with the tools to motivate and perform at your best. If you're passionate about competition, technology and teamwork, then working at MoneyGram Haas F1 Team could be the perfect fit for you. Motorsport is a dynamic and exciting industry that offers a wide range of opportunities for willing to put in the hard work and dedication required to succeed. Working at MoneyGram Haas F1 Team is a highly rewarding experience, as you become a crucial member of a team that is constantly pushing the boundaries of what's possible and striving for excellence in everything we do. Join our team and make your passion your profession. If you have not been a UK resident for the last 5 consecutive years, please be prepared to request an Overseas Criminal Records Check for these countries as you will be asked to provide this for referencing and security checks if you are successful.
Dec 09, 2025
Full time
2025 sees MoneyGram Haas F1 Team celebrate its tenth season in the FIA Formula 1 World Championship we're just getting started. We don't follow the status quo, we're here to challenge the competition, and we want you to join us. The first American Formula 1 team to compete in the sport since 1986, MoneyGram Haas F1 Team made an immediate impression with a memorable points-scoring debut at the 2016 Australian Grand Prix. Nine years later, and the team continues to demonstrate growth and a clear direction with its future objectives - coming off the back of its second-best season to-date in Formula 1. We're a racing team - not a corporate machine. We have three HQs - Kannapolis in the US, Banbury in the UK and Maranello in Italy - each powered by passionate, loyal and hardworking team ambassadors. At MoneyGram Haas F1 Team - known within the paddock as the 'family team' - you'll be involved in many different areas of the team, have much wider visibility across the business, and will be able to clearly see your contribution to our team. Yes, you'll learn from us, but we expect to learn from you too! General Summary: This position reports to the Head of Vehicle Science or their designee and is based in Banbury, UK. The position involves design, development, and application of advanced simulation tools with a strong focus on tyres, and any such tools that are used in the continuous improvement of the performance of car. This position requires support during race weekends from factory and attendance to a limited number of trackside races and tests. Key Responsibilities: General Promote teamwork and effective communications to develop working relationships between all personnel and departments. Follow all safety regulations in all venues. Other duties as assigned by the Head of Vehicle Science or designee. Factory Design, develop and continually assess the correlation of both physical and empirical tyre models whilst conducting research to seek improvements on the modelling techniques. Support the Design Office and other departments in the design of cars and tools with simulations and data driven approaches. Design, development, and correlation of tools aimed at analysing the tyre performance on track, on the rigs and when used on simulation tools (i.e. lap sim, DIL, HIL, etc). Collaborate with software engineers on the design and development of tools used to monitor the performance of tyres. Develop the necessary infrastructure for fitting physical and empirical tyre models to track and/or rig data. Manage and maintain the tyre catalogues to provide a comprehensive set of parameters, populate all simulation and analysis tools with the most precise and up-to-date information. Lead the monitoring of the performance of all sensors directly and indirectly related to tyres. Lead and maintain any collaboration with Electronics and Control System departments in detecting and reporting malfunctioning of sensors. Propose solutions and/or support the investigation with a data driven approach. Supervise and mentor junior engineers with their contribution to the team activities. Trackside Formulate pre-event simulations and reporting to support Race Engineering with the event preparation. Complete post-event analysis and reporting of tyre performance with focus on improving the performance of the tyres and the tools involved. Support race and test event through the entire weekend by following the sessions live from the factory or at the track. Assist Race Engineering, Vehicle Performance and Strategy departments to monitor and optimize the car performance. Support Race Engineering by providing the tyre performance analysis report and answer to specific focus points when requested at the end of each session. Collaborate and assist Electronics and Control Systems department to monitor live the performance of sensors directly and indirectly related to tyres. Testing Propose tyre test items, for all trackside testing opportunities and report the findings with a data driven approach. Review of the testing techniques and suggest changes for improvements. Responsible for the management of projects; from outsourced bench testing activities: define objectives, test plans, data post-processing, analysis and reporting. Work with internal and external test engineers to improve experimental test facilities and processes. Education and Work Experience: Comprehensive knowledge of all onboard sensors and instrumentations generally used to monitor tyres performance and operating conditions. Extensive Vehicle Dynamics experience. Accurate understanding of techniques for analysis in the frequency and special domains. In-depth knowledge of tyre thermal and mechanical modelling techniques. Specialized Knowledge and Skills: Strong communication skills, written and verbal. Strong technical background in engineering, applied mathematics and physics. Strong technical background in racing car. Work to a consistently high standard in stressful and time sensitive situations. Quick decision-making skills whilst working through problems in a scientific and analytical way. Work well within a team environment with personnel at all levels. A sympathetic approach to your work colleagues and an ability to integrate within a group environment. A can do positive approach and a willingness to help others is essential. Equipment and Applications: Good to advanced experience and knowledge of Matlab & Simulink and C#. Innovative understanding of Atlas. Good to advanced knowledge of MAT products to enable management application in vTAG environment like System Monitor and GDE libraries. Beginner level in VB (for excel). Work Environment Physical Demands: An ability to work and prioritize within a high pressure, time sensitive environment while retaining a methodical approach is essential. The role may require occasional domestic and international travel and a willingness to work long and flexible hours including weekends. This position may require lifting to 50 pounds, repeated bending, squatting and manual dexterity. Fast paced work environment requiring heavy mental demands. Work environment includes machinery, race cars, 7 post and other rigs, grinding debris, and hazardous fluids. All employees must ensure compliance with the Company Health and Safety Policy, and all relevant other statutory Health and Safety legislation. Notice Due to the nature of the organisation, all employees of MoneyGram Haas F1 Team are required to be security cleared to National Security Vetting standards. If successful in your application, we would support you with the NSV process. As a guideline only, you would normally need to have been a UK resident for the last 5 consecutive years. Further confirmation can be found on the Civil Aviation Authority National Security Vetting (NSV) website At MoneyGram Haas F1 Team, we consider our employees our greatest asset. We strive to create a supportive and inclusive work environment where everyone can thrive and grow. We value diversity and encourage our employees to bring their unique perspectives and experiences to the conversation. Diversity, Equality, and Inclusion are fundamental to who we are as a company and a collective of colleagues. Our commitment to these ethics is steadfast and this promise travels with us wherever we are in the world. We look after our team with multiple rewards packages, competitive bonuses and year round health and wellbeing programs, providing you with the tools to motivate and perform at your best. If you're passionate about competition, technology and teamwork, then working at MoneyGram Haas F1 Team could be the perfect fit for you. Motorsport is a dynamic and exciting industry that offers a wide range of opportunities for willing to put in the hard work and dedication required to succeed. Working at MoneyGram Haas F1 Team is a highly rewarding experience, as you become a crucial member of a team that is constantly pushing the boundaries of what's possible and striving for excellence in everything we do. Join our team and make your passion your profession. If you have not been a UK resident for the last 5 consecutive years, please be prepared to request an Overseas Criminal Records Check for these countries as you will be asked to provide this for referencing and security checks if you are successful.
Redline Group Ltd
Newcastle Upon Tyne, Tyne And Wear
A Test Engineer is sought to join an innovative engineering team in Tyne & Wear, contributing to the development and validation of test processes, software behaviours, and electronic systems within the transport sector. The Test Engineer, Tyne & Wear, will be expected to develop their understanding in the field, learning from peers and senior engineers in technical areas and industry best practices click apply for full job details
Dec 09, 2025
Full time
A Test Engineer is sought to join an innovative engineering team in Tyne & Wear, contributing to the development and validation of test processes, software behaviours, and electronic systems within the transport sector. The Test Engineer, Tyne & Wear, will be expected to develop their understanding in the field, learning from peers and senior engineers in technical areas and industry best practices click apply for full job details
View our cookie policy . Job Description We are seeking a Data Engineer to be based in our Edinburgh office with hybrid working (3 days a week in office) + excellent benefits At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group.Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry's best talent.Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders, and society.We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent.Aberdeen comprises three businesses, interactive investor (ii), Investments, and Adviser, each of which focuses on meeting and adapting to our clients' evolving needs: interactive investor, the UK's second largest direct-to-consumer investment platform, enables individuals in the UK to plan, save, and invest in the way that works for them. Our Adviser business provides financial planning solutions and technology for UK financial advisers, enabling them to create value for their customers. Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Role The role is for an Engineer with practical experience spanning 2+ years, joining the Development Chapter within the Asset Management Tribe. Reporting to the Chapter Lead, you'll work in a cross-functional team to design, develop, and support systems critical to investment operations and reporting. The focus is on building and maintaining data platforms and pipelines that power investment data products used across the organization for portfolio management, analytics, and regulatory reporting. Key responsibilities include developing robust, scalable solutions, ensuring data quality and performance, integrating with cloud-native platforms, and contributing to data architecture. Strong skills in data modelling, transformation, governance, and collaboration in an Agile environment are essential. Key Responsibilities Design, develop, and maintain robust, scalable data pipelines and services that support investment data products and reporting platforms. Build and optimise data integration workflows using tools such as Azure Data Factory , Synapse Pipelines , and SQL/T-SQL , ensuring data quality, performance, and reliability. Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks , Azure Data Lake , and Snowflake where appropriate. Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including test automation , unit testing , and CI/CD pipelines . Ensure observability and operational readiness of data solutions, including logging, monitoring, and Level 3 production support. Support data governance and metadata management initiatives to ensure data integrity and compliance. Explore and apply AI-assisted development tools (e.g. GitHub Copilot) and automation to improve engineering efficiency and solution quality. Participate in Agile ceremonies and contribute to continuous delivery and iterative improvement of our data platforms. Participate in code reviews, pair programming, and knowledge sharing. Drive continuous improvement in development tools, processes, and team ways of working. About the candidate We are looking for a highly capable and detail-oriented engineer who thrives on working with complex, high-volume data systems. You should have a track record of building and maintaining data platforms that are not only robust and scalable, but also efficient and cost-effective. Your ability to understand and optimise data flows-especially those that are critical to daily and intraday investment operations-will be key to your success in this role.You will be someone who takes pride in writing clean, performant code and designing modern data solutions that stand up to the demands of a fast-paced, data-driven environment. You should be comfortable navigating large datasets, applying best practices in data modelling and transformation, and leveraging cloud-native tools to deliver solutions that are both technically sound and operationally sustainable. A mindset focused on automation, observability, and continuous improvement is essential, as is the ability to collaborate effectively with both technical and non-technical stakeholders. Essential Skills & Experience Experience in Asset Management or Finance Technology Experience in SQL Solid understanding of ETL development , data modelling , and data governance Familiarity with DevOps tooling and CI/CD pipelines Strong foundation in software development practices , including unit testing Experience with code deployment and production support Other Desirable Skills & Experience Experience with Azure Databricks , Azure Data Lake , and Snowflake Experience in Python for data engineering and transformation Experience with Azure Data Factory and Synapse Pipelines Exposure to Azure App Services , Key Vault , and Azure Function Apps Experience with batch processing tools such as AutoSys, Control M Familiarity with Power BI and DBT Knowledge of REST API , JSON , XML , and XSLT Experience with test automation frameworks and test-driven development Awareness of MS Fabric , Data Vault , and PowerShell Exposure to GitHub Copilot or similar AI-assisted development tools Experience working with Security Master data Experience with SSIS , Markit EDM , or other data integration platforms Familiarity with VBA , Ab Initio , or observability toolingWe are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process. Our benefits There's more to working life than coming home with a good salary. We have an environment where you can learn, get involved and be supported.When you join us, your reward will be one of the best around. This includes 40 days' annual leave, a 16% employer pension contribution, a discretionary performance-based bonus (where applicable), private healthcare and a range of flexible benefits - including gym discounts, season ticket loans and access to an employee discount portal. You can read more about our benefits Our business Enabling our clients to be better investors drives everything we do. Our business is structured around three distinct areas - our vectors of growth - focused on our clients' changing needs. You can find out more about what we do . An inclusive way of working Whatever way you like to work, if you have the talent and commitment to join our team, we'd like to hear from you.At Aberdeen we've adopted a 'blended working' approach. This approach combines the benefits of face-to-face collaboration, coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles, their teams, our clients and our business., where diverse perspectives drive our actions, is at the core of who we are and what we do. If you need assistance
Dec 09, 2025
Full time
View our cookie policy . Job Description We are seeking a Data Engineer to be based in our Edinburgh office with hybrid working (3 days a week in office) + excellent benefits At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group.Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry's best talent.Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders, and society.We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent.Aberdeen comprises three businesses, interactive investor (ii), Investments, and Adviser, each of which focuses on meeting and adapting to our clients' evolving needs: interactive investor, the UK's second largest direct-to-consumer investment platform, enables individuals in the UK to plan, save, and invest in the way that works for them. Our Adviser business provides financial planning solutions and technology for UK financial advisers, enabling them to create value for their customers. Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Role The role is for an Engineer with practical experience spanning 2+ years, joining the Development Chapter within the Asset Management Tribe. Reporting to the Chapter Lead, you'll work in a cross-functional team to design, develop, and support systems critical to investment operations and reporting. The focus is on building and maintaining data platforms and pipelines that power investment data products used across the organization for portfolio management, analytics, and regulatory reporting. Key responsibilities include developing robust, scalable solutions, ensuring data quality and performance, integrating with cloud-native platforms, and contributing to data architecture. Strong skills in data modelling, transformation, governance, and collaboration in an Agile environment are essential. Key Responsibilities Design, develop, and maintain robust, scalable data pipelines and services that support investment data products and reporting platforms. Build and optimise data integration workflows using tools such as Azure Data Factory , Synapse Pipelines , and SQL/T-SQL , ensuring data quality, performance, and reliability. Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks , Azure Data Lake , and Snowflake where appropriate. Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including test automation , unit testing , and CI/CD pipelines . Ensure observability and operational readiness of data solutions, including logging, monitoring, and Level 3 production support. Support data governance and metadata management initiatives to ensure data integrity and compliance. Explore and apply AI-assisted development tools (e.g. GitHub Copilot) and automation to improve engineering efficiency and solution quality. Participate in Agile ceremonies and contribute to continuous delivery and iterative improvement of our data platforms. Participate in code reviews, pair programming, and knowledge sharing. Drive continuous improvement in development tools, processes, and team ways of working. About the candidate We are looking for a highly capable and detail-oriented engineer who thrives on working with complex, high-volume data systems. You should have a track record of building and maintaining data platforms that are not only robust and scalable, but also efficient and cost-effective. Your ability to understand and optimise data flows-especially those that are critical to daily and intraday investment operations-will be key to your success in this role.You will be someone who takes pride in writing clean, performant code and designing modern data solutions that stand up to the demands of a fast-paced, data-driven environment. You should be comfortable navigating large datasets, applying best practices in data modelling and transformation, and leveraging cloud-native tools to deliver solutions that are both technically sound and operationally sustainable. A mindset focused on automation, observability, and continuous improvement is essential, as is the ability to collaborate effectively with both technical and non-technical stakeholders. Essential Skills & Experience Experience in Asset Management or Finance Technology Experience in SQL Solid understanding of ETL development , data modelling , and data governance Familiarity with DevOps tooling and CI/CD pipelines Strong foundation in software development practices , including unit testing Experience with code deployment and production support Other Desirable Skills & Experience Experience with Azure Databricks , Azure Data Lake , and Snowflake Experience in Python for data engineering and transformation Experience with Azure Data Factory and Synapse Pipelines Exposure to Azure App Services , Key Vault , and Azure Function Apps Experience with batch processing tools such as AutoSys, Control M Familiarity with Power BI and DBT Knowledge of REST API , JSON , XML , and XSLT Experience with test automation frameworks and test-driven development Awareness of MS Fabric , Data Vault , and PowerShell Exposure to GitHub Copilot or similar AI-assisted development tools Experience working with Security Master data Experience with SSIS , Markit EDM , or other data integration platforms Familiarity with VBA , Ab Initio , or observability toolingWe are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process. Our benefits There's more to working life than coming home with a good salary. We have an environment where you can learn, get involved and be supported.When you join us, your reward will be one of the best around. This includes 40 days' annual leave, a 16% employer pension contribution, a discretionary performance-based bonus (where applicable), private healthcare and a range of flexible benefits - including gym discounts, season ticket loans and access to an employee discount portal. You can read more about our benefits Our business Enabling our clients to be better investors drives everything we do. Our business is structured around three distinct areas - our vectors of growth - focused on our clients' changing needs. You can find out more about what we do . An inclusive way of working Whatever way you like to work, if you have the talent and commitment to join our team, we'd like to hear from you.At Aberdeen we've adopted a 'blended working' approach. This approach combines the benefits of face-to-face collaboration, coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles, their teams, our clients and our business., where diverse perspectives drive our actions, is at the core of who we are and what we do. If you need assistance
This is an opportunity to lead, support and grow a new group of software engineers delivering and supporting the Test Equipment Resource and Capability group within Bolton Salary: circa £75,000 Depending on Experience Hybrid working pattern: Where possible, we will seek to accommodate a blended approach to on-site and remote working click apply for full job details
Dec 09, 2025
Full time
This is an opportunity to lead, support and grow a new group of software engineers delivering and supporting the Test Equipment Resource and Capability group within Bolton Salary: circa £75,000 Depending on Experience Hybrid working pattern: Where possible, we will seek to accommodate a blended approach to on-site and remote working click apply for full job details
MBDA is looking for a number of Software Engineers at varying levels to work in the Software Resource and Capability Team on Test Software. Salary: £40,000 - £75000 depending on experience Dynamic (hybrid) working: 3 to 4 Days a week in the office Security Clearance: British Citizen or a Dual UK national with British citizenship click apply for full job details
Dec 09, 2025
Full time
MBDA is looking for a number of Software Engineers at varying levels to work in the Software Resource and Capability Team on Test Software. Salary: £40,000 - £75000 depending on experience Dynamic (hybrid) working: 3 to 4 Days a week in the office Security Clearance: British Citizen or a Dual UK national with British citizenship click apply for full job details
Machine Learning Operations Engineer 11328SR1 £40k - 65k per year Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, and scheduled re training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Dec 09, 2025
Full time
Machine Learning Operations Engineer 11328SR1 £40k - 65k per year Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, and scheduled re training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Software Engineer in Test FULLY ONSITE IN MANCHESTER - SALARY UP TO £55,000 Software Testing / Playwright / Cypress / Selenium / Postman / Azure DevOps Looking for a senior level candidate who loves a challenge and is ready to hit the ground running! Based in Manchester Full time Onsite Salary up to £55,000 - 25 days holiday plus bank holiday, pension, and other benefits click apply for full job details
Dec 09, 2025
Full time
Software Engineer in Test FULLY ONSITE IN MANCHESTER - SALARY UP TO £55,000 Software Testing / Playwright / Cypress / Selenium / Postman / Azure DevOps Looking for a senior level candidate who loves a challenge and is ready to hit the ground running! Based in Manchester Full time Onsite Salary up to £55,000 - 25 days holiday plus bank holiday, pension, and other benefits click apply for full job details
Software QA Tester - Hybrid Role (Leeds) We're looking for a Software QA Tester to join a fast-growing fintech delivering innovative savings solutions. You'll play a key role in ensuring the quality and reliability of the platform, from web and mobile apps to API integrations. This is a hybrid role, requiring at least 3 days per week in the Leeds office click apply for full job details
Dec 09, 2025
Full time
Software QA Tester - Hybrid Role (Leeds) We're looking for a Software QA Tester to join a fast-growing fintech delivering innovative savings solutions. You'll play a key role in ensuring the quality and reliability of the platform, from web and mobile apps to API integrations. This is a hybrid role, requiring at least 3 days per week in the Leeds office click apply for full job details
