We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
02/04/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Cambridge University Press & Assessment
Cambridge, UK
Job Title: Principal Data Scientist
Salary: £74,200 - £99,250
Location: Cambridge/Hybrid with 2 day per week at the office
Contract: Permanent
Hours: Full time 35 hours per week
Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist , you will play a pivotal role at the heart of this transformation – leading our data science capability for AI-enabled assessment products used by millions of learners globally.
We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.
This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions.
About the role
As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation.
You will:
Set the direction for data science and analytics supporting automarking and AI-driven assessment
Lead and grow a small, high-impact team of data scientists and engineers
Curate high-quality data products used across research, machine learning and product teams
Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight
Ensure sensitive exam and candidate data is handled responsibly and ethically
Additional responsibilities and accountabilities include:
Lead data science, data engineering and analytics activities within ARC
Define and own the data strategy for automarking and related AI capabilities
Design and oversee data warehouses, pipelines and integrations with the wider organisation
Translate complex business and research needs into robust data solutions
Provide expert input into product, research and architectural decisions, up to board level
Build strong relationships with internal teams and external research partners
Champion best practice in data quality, DataOps and analytics engineering
This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.
About You To be successful in this role, you will bring:
Extensive experience in data science, analytics or analytics engineering in a complex environment
Advanced SQL skills, including writing, analysing and optimising large analytical queries
Strong experience with a data science programming language such as Python, R or Julia
Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh
Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI
A strong understanding of data warehousing principles (e.g. Kimball methodology)
Experience designing data models that enable self-service analytics
Proven ability to translate business or research questions into data-driven insights
Experience communicating complex technical concepts to non-technical and senior audiences
Leadership experience, including mentoring and guiding other data professionals
If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria:
Machine learning or AI product experience
Exposure to automarking, assessment, or high-stakes data environments
Skills in experimentation and statistical analysis (A/B testing, forecasting)
Familiarity with DataOps (CI/CD, testing, orchestration, observability)
For a detailed job description, please refer to the link at the bottom of the advert on our careers site.
We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition.
Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for.
Rewards and benefits
We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including:
28 days annual leave plus bank holidays
Private medical and Permanent Health Insurance
Discretionary annual bonus
Group personal pension scheme
Life assurance up to 4 x annual salary
Green travel schemes
Ready to pursue your potential? Apply now.
We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13 March 2026. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes.
As part of the application process, you can expect:
At application stage: four technical questions to answer when submitting your CV.
Stage 1 : 30-minute screening call with the hiring manager.
Stage 2 : 60-minute session includes questions about key skills as well as a code review or whiteboard exercise.
Stage 3 : 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed.
Stage 4 : Leadership and cultural 45-minute interview.
If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.
Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.
We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.
Why join us
Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration.
Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.
We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
02/03/2026
Full time
Job Title: Principal Data Scientist
Salary: £74,200 - £99,250
Location: Cambridge/Hybrid with 2 day per week at the office
Contract: Permanent
Hours: Full time 35 hours per week
Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist , you will play a pivotal role at the heart of this transformation – leading our data science capability for AI-enabled assessment products used by millions of learners globally.
We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.
This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions.
About the role
As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation.
You will:
Set the direction for data science and analytics supporting automarking and AI-driven assessment
Lead and grow a small, high-impact team of data scientists and engineers
Curate high-quality data products used across research, machine learning and product teams
Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight
Ensure sensitive exam and candidate data is handled responsibly and ethically
Additional responsibilities and accountabilities include:
Lead data science, data engineering and analytics activities within ARC
Define and own the data strategy for automarking and related AI capabilities
Design and oversee data warehouses, pipelines and integrations with the wider organisation
Translate complex business and research needs into robust data solutions
Provide expert input into product, research and architectural decisions, up to board level
Build strong relationships with internal teams and external research partners
Champion best practice in data quality, DataOps and analytics engineering
This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.
About You To be successful in this role, you will bring:
Extensive experience in data science, analytics or analytics engineering in a complex environment
Advanced SQL skills, including writing, analysing and optimising large analytical queries
Strong experience with a data science programming language such as Python, R or Julia
Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh
Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI
A strong understanding of data warehousing principles (e.g. Kimball methodology)
Experience designing data models that enable self-service analytics
Proven ability to translate business or research questions into data-driven insights
Experience communicating complex technical concepts to non-technical and senior audiences
Leadership experience, including mentoring and guiding other data professionals
If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria:
Machine learning or AI product experience
Exposure to automarking, assessment, or high-stakes data environments
Skills in experimentation and statistical analysis (A/B testing, forecasting)
Familiarity with DataOps (CI/CD, testing, orchestration, observability)
For a detailed job description, please refer to the link at the bottom of the advert on our careers site.
We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition.
Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for.
Rewards and benefits
We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including:
28 days annual leave plus bank holidays
Private medical and Permanent Health Insurance
Discretionary annual bonus
Group personal pension scheme
Life assurance up to 4 x annual salary
Green travel schemes
Ready to pursue your potential? Apply now.
We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13 March 2026. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes.
As part of the application process, you can expect:
At application stage: four technical questions to answer when submitting your CV.
Stage 1 : 30-minute screening call with the hiring manager.
Stage 2 : 60-minute session includes questions about key skills as well as a code review or whiteboard exercise.
Stage 3 : 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed.
Stage 4 : Leadership and cultural 45-minute interview.
If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.
Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.
We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.
Why join us
Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration.
Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.
We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
Principal Engineer - Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're working with a leading fintech scale-up that's transforming how small businesses access finance. Backed by a strong track record and an ambitious mission, they're now looking for a Principal Engineer to lead the next phase of innovation within one of their most critical product areas. This is a strategic leadership role offering exceptional autonomy and influence. You'll head up the evolution of a high-impact platform responsible for generating personalised credit offers - a core driver of the business's growth and customer experience. The Opportunity As Principal Engineer, you'll take ownership of the technical strategy and architecture for dynamic, data-driven systems that determine the financial products offered to new customers. This is a unique chance to define the future of adaptive credit systems, driving smarter, faster and more relevant lending decisions using Real Time data and experimentation. The Principal Engineer will work closely with senior leadership across engineering, data, product and design. You'll also mentor engineers, steer long-term vision and ensure delivery aligns with key business outcomes. What Makes This Role Stand Out? Strategic Impact: You'll lead the architectural vision and execution of systems at the heart of a high-growth fintech. Technical Ownership: Full responsibility for evolving and scaling a domain-critical platform. Cross-Functional Collaboration: Partner with experienced teams across disciplines to shape solutions from the ground up. Mission-Driven Environment: Work for a business that's empowering small businesses and making finance more accessible. What We're Looking For: Strong experience in systems architecture and software development (object-oriented languages). Proven ability to deliver large-scale technical projects in fast-paced environments. A business-oriented mindset: you can translate complex problems into scalable, value-driven solutions. A collaborative leader who has mentored teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and Front End awareness. If you're a Principal Engineer looking to combine hands-on technical leadership with real strategic influence in a product-led fintech then please reply with your CV or call Simon for a chat. Principal Engineer - Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
07/10/2025
Full time
Principal Engineer - Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're working with a leading fintech scale-up that's transforming how small businesses access finance. Backed by a strong track record and an ambitious mission, they're now looking for a Principal Engineer to lead the next phase of innovation within one of their most critical product areas. This is a strategic leadership role offering exceptional autonomy and influence. You'll head up the evolution of a high-impact platform responsible for generating personalised credit offers - a core driver of the business's growth and customer experience. The Opportunity As Principal Engineer, you'll take ownership of the technical strategy and architecture for dynamic, data-driven systems that determine the financial products offered to new customers. This is a unique chance to define the future of adaptive credit systems, driving smarter, faster and more relevant lending decisions using Real Time data and experimentation. The Principal Engineer will work closely with senior leadership across engineering, data, product and design. You'll also mentor engineers, steer long-term vision and ensure delivery aligns with key business outcomes. What Makes This Role Stand Out? Strategic Impact: You'll lead the architectural vision and execution of systems at the heart of a high-growth fintech. Technical Ownership: Full responsibility for evolving and scaling a domain-critical platform. Cross-Functional Collaboration: Partner with experienced teams across disciplines to shape solutions from the ground up. Mission-Driven Environment: Work for a business that's empowering small businesses and making finance more accessible. What We're Looking For: Strong experience in systems architecture and software development (object-oriented languages). Proven ability to deliver large-scale technical projects in fast-paced environments. A business-oriented mindset: you can translate complex problems into scalable, value-driven solutions. A collaborative leader who has mentored teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and Front End awareness. If you're a Principal Engineer looking to combine hands-on technical leadership with real strategic influence in a product-led fintech then please reply with your CV or call Simon for a chat. Principal Engineer - Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
Principal Firmware Engineer Luton Paying up to £80p/h (Umbrella) Responsibilities : Artificial Intelligence, including machine learning and genetic algorithms Auto-generated code using model driven engineering using MATLAB and Simulink tools Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware design (RTCA DO-254 or similar) Experience required: FPGA architectures such as Xilinx 7. Xilinx UltraScale; Intel (Altera) or Microsemi (Actel). Fast interfaces such as PCIe, Ethernet, and JESD is also required. Cryptography and anti-tamper techniques Electronics test methods and equipment HNC/HND or Undergraduate Degree (Electronic Engineering, Computer Science, AI, Games Programming, Physics, or Applied Physics) or you may just have lots of skills and experience gained through your hard work. Due to the nature of our work, any candidate must have 5 years UK residency and be capable of achieving full SC security clearance. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
03/10/2025
Full time
Principal Firmware Engineer Luton Paying up to £80p/h (Umbrella) Responsibilities : Artificial Intelligence, including machine learning and genetic algorithms Auto-generated code using model driven engineering using MATLAB and Simulink tools Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware design (RTCA DO-254 or similar) Experience required: FPGA architectures such as Xilinx 7. Xilinx UltraScale; Intel (Altera) or Microsemi (Actel). Fast interfaces such as PCIe, Ethernet, and JESD is also required. Cryptography and anti-tamper techniques Electronics test methods and equipment HNC/HND or Undergraduate Degree (Electronic Engineering, Computer Science, AI, Games Programming, Physics, or Applied Physics) or you may just have lots of skills and experience gained through your hard work. Due to the nature of our work, any candidate must have 5 years UK residency and be capable of achieving full SC security clearance. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
02/10/2025
Full time
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
MBDA Missile Systems - Together. For the future of defence. Who are we? Image Processing UK plays a meaningful role in the development of MBDA products and technologies. We have a detailed understanding of the interaction between missile subsystems and a direct influence on significant design decisions. Our world-beating algorithms use imaging sensors to provide situational awareness and guide weapons to their target with maximum precision. We are a firm supporter of equal opportunity for all, and proud to be a diverse engineering team. Image Processing UK is a cohesive and innovative department where the creativity and contributions of each individual have real value. As part of our team, you will benefit from an excellent working culture built on individual empowerment and mutual support. What's the opportunity? As a Principal Engineer, you will be a essential team member at an exciting time of growth and opportunity. The algorithms that you will research, develop and evaluate will form part of the next generation of complex weapon systems. The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). Security is a key consideration and as such, the majority of your work will be conducted on-site; a positive result of this is that our office remains a social and collaborative working environment. Nevertheless, there are opportunities for home working depending on the nature of the task. Who are we looking for? Preferably PhD qualified in a related area, either holding or completing the PhD A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar A keen curisity about cutting-edge technologies and their applications Although not essential, relevant experience in either Post-Doctoral or Industry would be highly beneficial. Specific knowledge in any of the following areas is of benefit: Image Processing Algorithms: Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms: Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques: Detection, Classification, Tracking, Siamese Networks Inverse Problems / Computational Imaging: Sparse Coding, Compressive Sensing Machine Learning: Support Vector Machines, Neural Networks Domain Specific Signal Processing: Multi/Hyper-Spectral, RF, IR, SAR, STAP What's in it for you? You will play a key role in the development of our complex weapon systems, and gain in-depth knowledge of their design and functionality You will collaborate with other engineers from a broad range of subject areas You will be working on cutting-edge technological innovations You will have the opportunity to work within an international field that has strong links to MBDA sites in France and Germany that will provide the opportunity for European travel You will have the opportunity to attend workshops and conferences both nationally and internationally What to expect: We offer opportunities for career progression, paid overtime (subject to level), bonus scheme, comprehensive pension package, annual salary review, collaborative working environment and excellent on-site facilities. We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. We also welcome applicants who are looking for flexible working arrangements. Follow us on LinkedIn (MBDA), Twitter Instagram (lifeatMBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. Please Note: MBDA UK requires all employees to achieve appropriate clearances.
24/09/2022
Full time
MBDA Missile Systems - Together. For the future of defence. Who are we? Image Processing UK plays a meaningful role in the development of MBDA products and technologies. We have a detailed understanding of the interaction between missile subsystems and a direct influence on significant design decisions. Our world-beating algorithms use imaging sensors to provide situational awareness and guide weapons to their target with maximum precision. We are a firm supporter of equal opportunity for all, and proud to be a diverse engineering team. Image Processing UK is a cohesive and innovative department where the creativity and contributions of each individual have real value. As part of our team, you will benefit from an excellent working culture built on individual empowerment and mutual support. What's the opportunity? As a Principal Engineer, you will be a essential team member at an exciting time of growth and opportunity. The algorithms that you will research, develop and evaluate will form part of the next generation of complex weapon systems. The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). Security is a key consideration and as such, the majority of your work will be conducted on-site; a positive result of this is that our office remains a social and collaborative working environment. Nevertheless, there are opportunities for home working depending on the nature of the task. Who are we looking for? Preferably PhD qualified in a related area, either holding or completing the PhD A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar A keen curisity about cutting-edge technologies and their applications Although not essential, relevant experience in either Post-Doctoral or Industry would be highly beneficial. Specific knowledge in any of the following areas is of benefit: Image Processing Algorithms: Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms: Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques: Detection, Classification, Tracking, Siamese Networks Inverse Problems / Computational Imaging: Sparse Coding, Compressive Sensing Machine Learning: Support Vector Machines, Neural Networks Domain Specific Signal Processing: Multi/Hyper-Spectral, RF, IR, SAR, STAP What's in it for you? You will play a key role in the development of our complex weapon systems, and gain in-depth knowledge of their design and functionality You will collaborate with other engineers from a broad range of subject areas You will be working on cutting-edge technological innovations You will have the opportunity to work within an international field that has strong links to MBDA sites in France and Germany that will provide the opportunity for European travel You will have the opportunity to attend workshops and conferences both nationally and internationally What to expect: We offer opportunities for career progression, paid overtime (subject to level), bonus scheme, comprehensive pension package, annual salary review, collaborative working environment and excellent on-site facilities. We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. We also welcome applicants who are looking for flexible working arrangements. Follow us on LinkedIn (MBDA), Twitter Instagram (lifeatMBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. Please Note: MBDA UK requires all employees to achieve appropriate clearances.
Location UK wide - London, Croydon, Woking, Telford, Aston, Liverpool and Manchester Some wider UK mobility may be required. Successful candidates must be willing to undergo SC level Security Clearance. Mobility With the coronavirus pandemic accelerating digital transformation around the globe, Capgemini, as a leading cloud and digital services supplier, is ideally placed to offer its employees and clients the benefits of more flexible working policies. We believe that there are many benefits to our clients, our employees and our organisation of significantly increased remote working - including increased employee productivity, improved work/life balance for employees and greater corporate sustainability in line with our environmental ambitions. We also understand significant remote working can lead to employee wellbeing and satisfaction issues, if not appropriately supported. Within our Capgemini UK Public Sector business, we have a remote working policy that gives autonomy and empowerment to our workforce . We believe this ultimately drives productivity and employee satisfaction, which in turn leads to satisfied clients and company success. Our policy recognises that everyone has different requirements, and needs clarity on expectations including: where and when people can work remotely; what equipment is provided; how regular and personalised two-way communication will take place; what security considerations are required around the work we do; how goals are set and successes celebrated; and how employee wellbeing is supported. Capgemini is a client-led organisation, but we offer a remote-first working policy to our clients. Our expectation is that our employees can work for up to 70% of their time remotely in any given month. As our ethos is to provide excellent service to our clients, we will balance client needs with employee preferences where possible, but there will be times when we will ask you to attend meetings or collaboration events with clients either on client-site or in Capgemini offices. Typically this means that you could expect to travel to a site for work two or three times per month. Alternatively, If you'd prefer to work in an office with your client or colleagues more frequently than this, we can arrange this too. In short, it's all about finding a balance between client needs, employee preferences and reducing the impact of travel on the environment in a flexible and pragmatic way - but whatever your requirements for remote working, we believe that Capgemini can meet them, in a way that works for you, us and our clients. Our policy also fully aligns us with UK Gov's social value and sustainable development goals." An Overview of the role In the crucial role, you will help support our clients to both migrate our client's on-premise infrastructure to Microsoft Azure and expand their current native cloud presence. With a collaborative ethos, you will ensure that the clients cloud infrastructure is delivered using infrastructure as code, utilising the latest CI/CD processes. This role is a unique chance to uplift an existing virtual estate into the cloud & then transform it into a modern, cloud native deployment. Utilising the latest DevOps methodologies to drive change within an organisation. The Work The initial focus of this role will be to migrate existing infrastructure into Microsoft Azure - following an infrastructure code approach with varying levels of transformation. Some of the technologies in use on the project are but not limited to: Linux (RHEL) Windows 2016/2019 Hashicorp (packer / terraform / consul / vault) Ansible, PowerShell DSC Azure Resource Manager Templates Docker Kubernetes (Azure Kubernetes Service) IaaS Virtual Machines Azure Active Directory Azure VNet configuration Azure Network Security Groups Azure WebApps Azure DevOps Graphite / Grafana / Prometheus /OpsView / ELK Why this role? This role is for you if you can drive & deliver in the following areas; Looking to influence & improve the DevOps processes already in place See the "real world" impact your work has on a business in both monetary & business value. Drive the uptake of PaaS services within a cloud environment. Build & become a part of a highly skilled team. Drive technology change forward. Why you? As a member of our team, you will be able too; • Lead by example • Be a team player • Advocate the use of DevOps principals • Harvest a collaborative working environment • Drive change within an environment to push out reliable & repeatable changes Why us? While we're a global consultancy, we're made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment. Learning and development There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Diversity Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. About Capgemini Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients' opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion. See what it's like to work at Capgemini. Visit: and
23/09/2022
Full time
Location UK wide - London, Croydon, Woking, Telford, Aston, Liverpool and Manchester Some wider UK mobility may be required. Successful candidates must be willing to undergo SC level Security Clearance. Mobility With the coronavirus pandemic accelerating digital transformation around the globe, Capgemini, as a leading cloud and digital services supplier, is ideally placed to offer its employees and clients the benefits of more flexible working policies. We believe that there are many benefits to our clients, our employees and our organisation of significantly increased remote working - including increased employee productivity, improved work/life balance for employees and greater corporate sustainability in line with our environmental ambitions. We also understand significant remote working can lead to employee wellbeing and satisfaction issues, if not appropriately supported. Within our Capgemini UK Public Sector business, we have a remote working policy that gives autonomy and empowerment to our workforce . We believe this ultimately drives productivity and employee satisfaction, which in turn leads to satisfied clients and company success. Our policy recognises that everyone has different requirements, and needs clarity on expectations including: where and when people can work remotely; what equipment is provided; how regular and personalised two-way communication will take place; what security considerations are required around the work we do; how goals are set and successes celebrated; and how employee wellbeing is supported. Capgemini is a client-led organisation, but we offer a remote-first working policy to our clients. Our expectation is that our employees can work for up to 70% of their time remotely in any given month. As our ethos is to provide excellent service to our clients, we will balance client needs with employee preferences where possible, but there will be times when we will ask you to attend meetings or collaboration events with clients either on client-site or in Capgemini offices. Typically this means that you could expect to travel to a site for work two or three times per month. Alternatively, If you'd prefer to work in an office with your client or colleagues more frequently than this, we can arrange this too. In short, it's all about finding a balance between client needs, employee preferences and reducing the impact of travel on the environment in a flexible and pragmatic way - but whatever your requirements for remote working, we believe that Capgemini can meet them, in a way that works for you, us and our clients. Our policy also fully aligns us with UK Gov's social value and sustainable development goals." An Overview of the role In the crucial role, you will help support our clients to both migrate our client's on-premise infrastructure to Microsoft Azure and expand their current native cloud presence. With a collaborative ethos, you will ensure that the clients cloud infrastructure is delivered using infrastructure as code, utilising the latest CI/CD processes. This role is a unique chance to uplift an existing virtual estate into the cloud & then transform it into a modern, cloud native deployment. Utilising the latest DevOps methodologies to drive change within an organisation. The Work The initial focus of this role will be to migrate existing infrastructure into Microsoft Azure - following an infrastructure code approach with varying levels of transformation. Some of the technologies in use on the project are but not limited to: Linux (RHEL) Windows 2016/2019 Hashicorp (packer / terraform / consul / vault) Ansible, PowerShell DSC Azure Resource Manager Templates Docker Kubernetes (Azure Kubernetes Service) IaaS Virtual Machines Azure Active Directory Azure VNet configuration Azure Network Security Groups Azure WebApps Azure DevOps Graphite / Grafana / Prometheus /OpsView / ELK Why this role? This role is for you if you can drive & deliver in the following areas; Looking to influence & improve the DevOps processes already in place See the "real world" impact your work has on a business in both monetary & business value. Drive the uptake of PaaS services within a cloud environment. Build & become a part of a highly skilled team. Drive technology change forward. Why you? As a member of our team, you will be able too; • Lead by example • Be a team player • Advocate the use of DevOps principals • Harvest a collaborative working environment • Drive change within an environment to push out reliable & repeatable changes Why us? While we're a global consultancy, we're made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment. Learning and development There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Diversity Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. About Capgemini Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients' opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion. See what it's like to work at Capgemini. Visit: and
Job Introduction Are you looking for a role that builds on your experience with engineering data systems and brings hands-on experience with machine learning? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. The Content Publishing team's mission is to build unrivalled fully-accessible tools to enable journalists across the globe to create, curate and describe the world's best journalism content in over 40 languages. Our team is central to the success of the BBC. We are in the middle of solving some big questions: How do we put tagging at the heart of a personalised BBC? How can we use data to better understand what we make and how we make it, to build a more personalised and engaging experience for our audience? We're figuring out the answers to these questions and more like them, and we're looking for help. If any of these challenges excite you then come and join us. Role Responsibility We are looking for a Principal Data Engineer to lead engineering on projects that use data to improve content creation. Our projects include a machine learning system that suggests tags for pieces of content, and a knowledge graph that helps us connect and better understand the articles and programmes that we produce. We aim to build a world-leading suite of tools that use data to streamline the creation of relevant and personalised content. Our data engineers ensure the efficient running of pipelines that ingest, process and summarise data, and work closely with data scientists to develop machine learning models and put them into production. You will work in cross-functional teams alongside Product, Editorial, UX, Software Engineers, Data Scientists and other Data Engineers, and will mentor more junior colleagues. We value learning and create a supportive environment for people to follow their interests and develop personally and professionally, through structured training and on-the-job experience. As Principal, you will help to set the technical direction of the team, developing and representing our best practice. You will be a passionate and experienced engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: •Good communication skills - a great candidate will be able to talk to other developers, to non-developers, and is happy to communicate with people remotely across multiple BBC sites •The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be •An enthusiasm for writing clean, well-documented, and testable code •Curious and embraces change - we're always learning new technologies and requirements often change, you'll enjoy this challenge •Goal oriented - you'll enjoy finishing the job by developing the final details Are you the right candidate? You don't need you to be an expert in all these areas, only some of them. If you have a base understanding of the areas and their underlying principles, you will shine. So don't feel that you can't apply if you don't have all these skills. After all, you'll work with, and be mentored by, a friendly development team, and the BBC will provide many opportunities for learning as you progress. We look for experience of: Leading on technical projects Mentoring junior colleagues Communicating with technical and non-technical stakeholders Developing engineering best practice and advocating for it Developing software/data pipelines using Python, Scala, JavaScript or Go Machine learning, especially putting ML models into production Graph databases Cloud computing (preferably AWS) ETL technologies e.g. Apache Airflow Containerisation e.g. Docker / Kubernetes Infrastructure as code e.g. CDK CI/CD e.g. AWS CodePipeline or Jenkins Familiarity with Data Warehousing technologies (such as Redshift/Big Query/Snowflake) Software testing practices including unit testing frameworks Version control systems such as git Package Description Band: D Contract type: Permanent Location: London / Salford / Glasgow We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i
23/09/2022
Full time
Job Introduction Are you looking for a role that builds on your experience with engineering data systems and brings hands-on experience with machine learning? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. The Content Publishing team's mission is to build unrivalled fully-accessible tools to enable journalists across the globe to create, curate and describe the world's best journalism content in over 40 languages. Our team is central to the success of the BBC. We are in the middle of solving some big questions: How do we put tagging at the heart of a personalised BBC? How can we use data to better understand what we make and how we make it, to build a more personalised and engaging experience for our audience? We're figuring out the answers to these questions and more like them, and we're looking for help. If any of these challenges excite you then come and join us. Role Responsibility We are looking for a Principal Data Engineer to lead engineering on projects that use data to improve content creation. Our projects include a machine learning system that suggests tags for pieces of content, and a knowledge graph that helps us connect and better understand the articles and programmes that we produce. We aim to build a world-leading suite of tools that use data to streamline the creation of relevant and personalised content. Our data engineers ensure the efficient running of pipelines that ingest, process and summarise data, and work closely with data scientists to develop machine learning models and put them into production. You will work in cross-functional teams alongside Product, Editorial, UX, Software Engineers, Data Scientists and other Data Engineers, and will mentor more junior colleagues. We value learning and create a supportive environment for people to follow their interests and develop personally and professionally, through structured training and on-the-job experience. As Principal, you will help to set the technical direction of the team, developing and representing our best practice. You will be a passionate and experienced engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: •Good communication skills - a great candidate will be able to talk to other developers, to non-developers, and is happy to communicate with people remotely across multiple BBC sites •The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be •An enthusiasm for writing clean, well-documented, and testable code •Curious and embraces change - we're always learning new technologies and requirements often change, you'll enjoy this challenge •Goal oriented - you'll enjoy finishing the job by developing the final details Are you the right candidate? You don't need you to be an expert in all these areas, only some of them. If you have a base understanding of the areas and their underlying principles, you will shine. So don't feel that you can't apply if you don't have all these skills. After all, you'll work with, and be mentored by, a friendly development team, and the BBC will provide many opportunities for learning as you progress. We look for experience of: Leading on technical projects Mentoring junior colleagues Communicating with technical and non-technical stakeholders Developing engineering best practice and advocating for it Developing software/data pipelines using Python, Scala, JavaScript or Go Machine learning, especially putting ML models into production Graph databases Cloud computing (preferably AWS) ETL technologies e.g. Apache Airflow Containerisation e.g. Docker / Kubernetes Infrastructure as code e.g. CDK CI/CD e.g. AWS CodePipeline or Jenkins Familiarity with Data Warehousing technologies (such as Redshift/Big Query/Snowflake) Software testing practices including unit testing frameworks Version control systems such as git Package Description Band: D Contract type: Permanent Location: London / Salford / Glasgow We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i
We are looking for an enthusiastic Software Engineer ideally with strong knowledge of 3D/2D graphics to join our graphics software team in Cambridge. Ensure you read the information regarding this opportunity thoroughly before making an application. The role involves cooperating with highly motivated engineers from different disciplines and customers throughout the world to design, develop and deploy Vulkan and OpenGL ES drivers for the current and the next generation of Arm graphics cores. The Team In the GPU Team you will be working alongside the best engineers in the world, making market leading products for the most successful companies. With applications in mobile, machine learning, Internet of Things, automotive, security, and embedded devices, your ideas will make a difference and you will have the opportunity to lead, challenge the norm and ultimately change the world of media processing. The Arm Mali series of multimedia processors offers graphics solutions to drive the ultimate visual experience across a wide range of devices, scaling from entry-level mass market smartphones through to visually stunning, high-performance smartphones, Android OS-based tablets and SmartTVs. Our Mali Graphics Processor is the world's shipping Graphics Processor. Please take a look at the following video to see what it's like to work in Arm: Requirements Education & Qualifications Bachelors, Masters or PhD (computer science or electronics engineering) with good academic record. Essential Skills & Experience Ability to lead and direct GPU engineering teams Experience of embedded software development for a commercial organization. Experience in 2D/3D graphics technology and standards such as Vulkan, OpenGL, OpenGL ES or Direct3D. Knowledge of graphics fundamentals, e.g.: GPU graphics pipeline and shaders. Expert knowledge of C/C++. Strong understanding of computer architecture (CPU, Memory, MMU Cache, etc.) Proficiency in problem solving and debugging skills. Experience of performance analysis, software optimisation and instrumentation. Willingness and ability to contribute to process improvement initiatives. Practical, organized and analytical approach to work. Next steps Sounds good? Then click apply today. With offices around the world, Arm is a diverse organisation of dedicated, innovative and highly talented professionals. By enabling a vibrant, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we inspire our people to share their unique contributions to Arm's success in the global marketplace.
22/09/2022
Full time
We are looking for an enthusiastic Software Engineer ideally with strong knowledge of 3D/2D graphics to join our graphics software team in Cambridge. Ensure you read the information regarding this opportunity thoroughly before making an application. The role involves cooperating with highly motivated engineers from different disciplines and customers throughout the world to design, develop and deploy Vulkan and OpenGL ES drivers for the current and the next generation of Arm graphics cores. The Team In the GPU Team you will be working alongside the best engineers in the world, making market leading products for the most successful companies. With applications in mobile, machine learning, Internet of Things, automotive, security, and embedded devices, your ideas will make a difference and you will have the opportunity to lead, challenge the norm and ultimately change the world of media processing. The Arm Mali series of multimedia processors offers graphics solutions to drive the ultimate visual experience across a wide range of devices, scaling from entry-level mass market smartphones through to visually stunning, high-performance smartphones, Android OS-based tablets and SmartTVs. Our Mali Graphics Processor is the world's shipping Graphics Processor. Please take a look at the following video to see what it's like to work in Arm: Requirements Education & Qualifications Bachelors, Masters or PhD (computer science or electronics engineering) with good academic record. Essential Skills & Experience Ability to lead and direct GPU engineering teams Experience of embedded software development for a commercial organization. Experience in 2D/3D graphics technology and standards such as Vulkan, OpenGL, OpenGL ES or Direct3D. Knowledge of graphics fundamentals, e.g.: GPU graphics pipeline and shaders. Expert knowledge of C/C++. Strong understanding of computer architecture (CPU, Memory, MMU Cache, etc.) Proficiency in problem solving and debugging skills. Experience of performance analysis, software optimisation and instrumentation. Willingness and ability to contribute to process improvement initiatives. Practical, organized and analytical approach to work. Next steps Sounds good? Then click apply today. With offices around the world, Arm is a diverse organisation of dedicated, innovative and highly talented professionals. By enabling a vibrant, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we inspire our people to share their unique contributions to Arm's success in the global marketplace.
Location Telford / Aston (Birmingham) Some wider UK mobility may be required. Successful candidates must be willing to undergo SC level Security Clearance. Mobility With the coronavirus pandemic accelerating digital transformation around the globe, Capgemini, as a leading cloud and digital services supplier, is ideally placed to offer its employees and clients the benefits of more flexible working policies. We believe that there are many benefits to our clients, our employees and our organisation of significantly increased remote working - including increased employee productivity, improved work/life balance for employees and greater corporate sustainability in line with our environmental ambitions. We also understand significant remote working can lead to employee wellbeing and satisfaction issues, if not appropriately supported. Within our Capgemini UK Public Sector business, we have a remote working policy that gives autonomy and empowerment to our workforce . We believe this ultimately drives productivity and employee satisfaction, which in turn leads to satisfied clients and company success. Our policy recognises that everyone has different requirements, and needs clarity on expectations including: where and when people can work remotely; what equipment is provided; how regular and personalised two-way communication will take place; what security considerations are required around the work we do; how goals are set and successes celebrated; and how employee wellbeing is supported. Capgemini is a client-led organisation, but we offer a remote-first working policy to our clients. Our expectation is that our employees can work for up to 70% of their time remotely in any given month. As our ethos is to provide excellent service to our clients, we will balance client needs with employee preferences where possible, but there will be times when we will ask you to attend meetings or collaboration events with clients either on client-site or in Capgemini offices. Typically this means that you could expect to travel to a site for work two or three times per month. Alternatively, If you'd prefer to work in an office with your client or colleagues more frequently than this, we can arrange this too. In short, it's all about finding a balance between client needs, employee preferences and reducing the impact of travel on the environment in a flexible and pragmatic way - but whatever your requirements for remote working, we believe that Capgemini can meet them, in a way that works for you, us and our clients. Our policy also fully aligns us with UK Gov's social value and sustainable development goals. An Overview of the role In the crucial role, you will help support our clients to both migrate our client's on-premise infrastructure to Microsoft Azure and expand their current native cloud presence. With a collaborative ethos, you will ensure that the clients cloud infrastructure is delivered using infrastructure as code, utilising the latest CI/CD processes. This role is a unique chance to uplift an existing virtual estate into the cloud & then transform it into a modern, cloud native deployment. Utilising the latest DevOps methodologies to drive change within an organisation. The work The initial focus of this role will be to migrate existing infrastructure into Microsoft Azure - following an infrastructure code approach with varying levels of transformation. Some of the technologies in use on the project are but not limited to: Linux (RHEL) Windows 2016/2019 Hashicorp (packer / terraform / consul / vault) Ansible, PowerShell DSC Azure Resource Manager Templates Docker Kubernetes (Azure Kubernetes Service) IaaS Virtual Machines Azure Active Directory Azure VNet configuration Azure Network Security Groups Azure WebApps Azure DevOps Graphite / Grafana / Prometheus /OpsView / ELK Why this role? This role is for you if you can drive & deliver in the following areas; Looking to influence & improve the DevOps processes already in place See the "real world" impact your work has on a business in both monetary & business value. Drive the uptake of PaaS services within a cloud environment. Build & become a part of a highly skilled team. Drive technology change forward. Why you? As a member of our team, you will be able too; • Lead by example • Be a team player • Advocate the use of DevOps principals • Harvest a collaborative working environment • Drive change within an environment to push out reliable & repeatable changes Why us? While we're a global consultancy, we're made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment. Learning and development There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Diversity Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. About Capgemini Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients' opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion. See what it's like to work at Capgemini. Visit: and
19/09/2022
Full time
Location Telford / Aston (Birmingham) Some wider UK mobility may be required. Successful candidates must be willing to undergo SC level Security Clearance. Mobility With the coronavirus pandemic accelerating digital transformation around the globe, Capgemini, as a leading cloud and digital services supplier, is ideally placed to offer its employees and clients the benefits of more flexible working policies. We believe that there are many benefits to our clients, our employees and our organisation of significantly increased remote working - including increased employee productivity, improved work/life balance for employees and greater corporate sustainability in line with our environmental ambitions. We also understand significant remote working can lead to employee wellbeing and satisfaction issues, if not appropriately supported. Within our Capgemini UK Public Sector business, we have a remote working policy that gives autonomy and empowerment to our workforce . We believe this ultimately drives productivity and employee satisfaction, which in turn leads to satisfied clients and company success. Our policy recognises that everyone has different requirements, and needs clarity on expectations including: where and when people can work remotely; what equipment is provided; how regular and personalised two-way communication will take place; what security considerations are required around the work we do; how goals are set and successes celebrated; and how employee wellbeing is supported. Capgemini is a client-led organisation, but we offer a remote-first working policy to our clients. Our expectation is that our employees can work for up to 70% of their time remotely in any given month. As our ethos is to provide excellent service to our clients, we will balance client needs with employee preferences where possible, but there will be times when we will ask you to attend meetings or collaboration events with clients either on client-site or in Capgemini offices. Typically this means that you could expect to travel to a site for work two or three times per month. Alternatively, If you'd prefer to work in an office with your client or colleagues more frequently than this, we can arrange this too. In short, it's all about finding a balance between client needs, employee preferences and reducing the impact of travel on the environment in a flexible and pragmatic way - but whatever your requirements for remote working, we believe that Capgemini can meet them, in a way that works for you, us and our clients. Our policy also fully aligns us with UK Gov's social value and sustainable development goals. An Overview of the role In the crucial role, you will help support our clients to both migrate our client's on-premise infrastructure to Microsoft Azure and expand their current native cloud presence. With a collaborative ethos, you will ensure that the clients cloud infrastructure is delivered using infrastructure as code, utilising the latest CI/CD processes. This role is a unique chance to uplift an existing virtual estate into the cloud & then transform it into a modern, cloud native deployment. Utilising the latest DevOps methodologies to drive change within an organisation. The work The initial focus of this role will be to migrate existing infrastructure into Microsoft Azure - following an infrastructure code approach with varying levels of transformation. Some of the technologies in use on the project are but not limited to: Linux (RHEL) Windows 2016/2019 Hashicorp (packer / terraform / consul / vault) Ansible, PowerShell DSC Azure Resource Manager Templates Docker Kubernetes (Azure Kubernetes Service) IaaS Virtual Machines Azure Active Directory Azure VNet configuration Azure Network Security Groups Azure WebApps Azure DevOps Graphite / Grafana / Prometheus /OpsView / ELK Why this role? This role is for you if you can drive & deliver in the following areas; Looking to influence & improve the DevOps processes already in place See the "real world" impact your work has on a business in both monetary & business value. Drive the uptake of PaaS services within a cloud environment. Build & become a part of a highly skilled team. Drive technology change forward. Why you? As a member of our team, you will be able too; • Lead by example • Be a team player • Advocate the use of DevOps principals • Harvest a collaborative working environment • Drive change within an environment to push out reliable & repeatable changes Why us? While we're a global consultancy, we're made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment. Learning and development There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Diversity Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. About Capgemini Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients' opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion. See what it's like to work at Capgemini. Visit: and
Principal Machine Learning Engineer London/ Remote £100,000 - £150,000 OVERVIEW Very successful Smart Vehicle Analytics start-up hiring for a Principal Machine Learning Engineer! They are building an innovative Analytics Platform for smart vehicle and have achieved huge initial success, building a strong team of ex Google/ Spotify/ Palantir etc employees and already have a solid client/ customer base! Your responsibilities as a Principal Machine Learning Engineer will include but not be limited to: - Build production level Machine Learning models using a breadth of techniques - Solve complex commercial problems with innovative ML solutions - Spearhead key ML platform projects and take ownership over the ML life-cycle and Analytics Platform - Help Lead and mentor more junior team members YOUR SKILLS AND EXPERIENCE A successful Principal Machine Learning Engineer will have the following: - Minimum of MSc from Top University - Commercial experience at top tier tech company or strategy consultancy (i.e. Quantum Black/ BCG etc) - Solid technical ability in ML Engineering THE BENEFITS - Very Competitive Salary - Strong wider benefits package HOW TO APPLY Please register your interest by sending your CV to Luke Frost via the Apply Link below.
15/09/2021
Full time
Principal Machine Learning Engineer London/ Remote £100,000 - £150,000 OVERVIEW Very successful Smart Vehicle Analytics start-up hiring for a Principal Machine Learning Engineer! They are building an innovative Analytics Platform for smart vehicle and have achieved huge initial success, building a strong team of ex Google/ Spotify/ Palantir etc employees and already have a solid client/ customer base! Your responsibilities as a Principal Machine Learning Engineer will include but not be limited to: - Build production level Machine Learning models using a breadth of techniques - Solve complex commercial problems with innovative ML solutions - Spearhead key ML platform projects and take ownership over the ML life-cycle and Analytics Platform - Help Lead and mentor more junior team members YOUR SKILLS AND EXPERIENCE A successful Principal Machine Learning Engineer will have the following: - Minimum of MSc from Top University - Commercial experience at top tier tech company or strategy consultancy (i.e. Quantum Black/ BCG etc) - Solid technical ability in ML Engineering THE BENEFITS - Very Competitive Salary - Strong wider benefits package HOW TO APPLY Please register your interest by sending your CV to Luke Frost via the Apply Link below.
Cambridge, Cambridgeshire
Tenoke Ltd
Cambridge, Cambridgeshire
Tenoke Ltd
About Tenoke (Mass Challenge Finalist; Winner of Hitech Innovation UK; Winner of CUE Startup Competition Cambridge) Tenoke was co-founded by Principal Investigators in University of Cambridge (Dr Zhongzhao Teng) and Imperial College London (Prof. Yike Guo), who are pioneering in Biomechanics and Medical Imaging and Big Data. We are transforming cardiovascular disease prevention with our cutting edge technology that is groundbreaking, impactful and life-saving. We are currently running clinical trials in 6 top hospitals in China and Addenbrooke's Hospital in Cambridge. Our team in China is working with the government to establish two Cardiovascular and Big Data Research Centres in Jiangsu and Fujian Province. We are looking for the best and brightest engineers to join our team at the Cambridge office. In addition to the salary, the package includes equity. Responsibilities: Development and implementation of the segmentation and co-registration for CT/MRI medical image processing; Working with scientists and clinicians to develop and improve the software prototype and further extension to commercial software packages; Developing machine learning/deep learning/conventional imaging processing algorithms; Contribution and assistance for future research publications and software copyrights. Requirements: MSc or PhD in Computer Science, Electronic Engineering, Medical Physics, Mathematics, Biomedical Engineering or other relevant disciplines, with solid background in medical image processing and analysis. Must have experience in computer aided diagnosis using MR or CT medical images; Experience in conventional imaging processing algorithms, including Bayesian, Level set, Active contour, or Region growth. Strong programming/coding ability (e.g., Python, Matlab, or C++). Desirable: Experience with one or more machine learning software stacks e.g. Caffe, TensorFlow, Theano, and Torch; A passion for artificial intelligence, machine learning and deep learning, and follow the latest developments in these rapidly evolving fields.
15/02/2019
Cambridge, Cambridgeshire
Tenoke Ltd
Cambridge, Cambridgeshire
Tenoke Ltd
About Tenoke (Mass Challenge Finalist; Winner of Hitech Innovation UK; Winner of CUE Startup Competition Cambridge) Tenoke was co-founded by Principal Investigators in University of Cambridge (Dr Zhongzhao Teng) and Imperial College London (Prof. Yike Guo), who are pioneering in Biomechanics and Medical Imaging and Big Data. We are transforming cardiovascular disease prevention with our cutting edge technology that is groundbreaking, impactful and life-saving. We are currently running clinical trials in 6 top hospitals in China and Addenbrooke's Hospital in Cambridge. Our team in China is working with the government to establish two Cardiovascular and Big Data Research Centres in Jiangsu and Fujian Province. We are looking for the best and brightest engineers to join our team at the Cambridge office. In addition to the salary, the package includes equity. Responsibilities: Development and implementation of the segmentation and co-registration for CT/MRI medical image processing; Working with scientists and clinicians to develop and improve the software prototype and further extension to commercial software packages; Developing machine learning/deep learning/conventional imaging processing algorithms; Contribution and assistance for future research publications and software copyrights. Requirements: MSc or PhD in Computer Science, Electronic Engineering, Medical Physics, Mathematics, Biomedical Engineering or other relevant disciplines, with solid background in medical image processing and analysis. Must have experience in computer aided diagnosis using MR or CT medical images; Experience in conventional imaging processing algorithms, including Bayesian, Level set, Active contour, or Region growth. Strong programming/coding ability (e.g., Python, Matlab, or C++). Desirable: Experience with one or more machine learning software stacks e.g. Caffe, TensorFlow, Theano, and Torch; A passion for artificial intelligence, machine learning and deep learning, and follow the latest developments in these rapidly evolving fields.
Cambridge, Cambridgeshire
Tenoke Ltd
About Tenoke (Mass Challenge Finalist; Winner of Hitech Innovation UK; Winner of CUE Startup Competition Cambridge) Tenoke was co-founded by Principal Investigators in University of Cambridge (Dr Zhongzhao Teng) and Imperial College London (Prof. Yike Guo), who are pioneering in Biomechanics and Medical Imaging and Big Data. We are transforming cardiovascular disease prevention with our cutting edge technology that is groundbreaking, impactful and life-saving. We are currently running clinical trials in 6 top hospitals in China and Addenbrooke's Hospital in Cambridge. Our team in China is working with the government to establish two Cardiovascular and Big Data Research Centres in Jiangsu and Fujian Province. We are looking for the best and brightest engineers to join our team at the Cambridge office. In addition to the salary, the package includes equity. Responsibilities: Development and implementation of the segmentation and co-registration for CT/MRI medical image processing; Working with scientists and clinicians to develop and improve the software prototype and further extension to commercial software packages; Developing machine learning/deep learning/conventional imaging processing algorithms; Contribution and assistance for future research publications and software copyrights. Requirements: MSc or PhD in Computer Science, Electronic Engineering, Medical Physics, Mathematics, Biomedical Engineering or other relevant disciplines, with solid background in medical image processing and analysis. Must have experience in computer aided diagnosis using MR or CT medical images; Experience in conventional imaging processing algorithms, including Bayesian, Level set, Active contour, or Region growth. Strong programming/coding ability (e.g., Python, Matlab, or C++). Desirable: Experience with one or more machine learning software stacks e.g. Caffe, TensorFlow, Theano, and Torch; A passion for artificial intelligence, machine learning and deep learning, and follow the latest developments in these rapidly evolving fields.
15/02/2019
Cambridge, Cambridgeshire
Tenoke Ltd
About Tenoke (Mass Challenge Finalist; Winner of Hitech Innovation UK; Winner of CUE Startup Competition Cambridge) Tenoke was co-founded by Principal Investigators in University of Cambridge (Dr Zhongzhao Teng) and Imperial College London (Prof. Yike Guo), who are pioneering in Biomechanics and Medical Imaging and Big Data. We are transforming cardiovascular disease prevention with our cutting edge technology that is groundbreaking, impactful and life-saving. We are currently running clinical trials in 6 top hospitals in China and Addenbrooke's Hospital in Cambridge. Our team in China is working with the government to establish two Cardiovascular and Big Data Research Centres in Jiangsu and Fujian Province. We are looking for the best and brightest engineers to join our team at the Cambridge office. In addition to the salary, the package includes equity. Responsibilities: Development and implementation of the segmentation and co-registration for CT/MRI medical image processing; Working with scientists and clinicians to develop and improve the software prototype and further extension to commercial software packages; Developing machine learning/deep learning/conventional imaging processing algorithms; Contribution and assistance for future research publications and software copyrights. Requirements: MSc or PhD in Computer Science, Electronic Engineering, Medical Physics, Mathematics, Biomedical Engineering or other relevant disciplines, with solid background in medical image processing and analysis. Must have experience in computer aided diagnosis using MR or CT medical images; Experience in conventional imaging processing algorithms, including Bayesian, Level set, Active contour, or Region growth. Strong programming/coding ability (e.g., Python, Matlab, or C++). Desirable: Experience with one or more machine learning software stacks e.g. Caffe, TensorFlow, Theano, and Torch; A passion for artificial intelligence, machine learning and deep learning, and follow the latest developments in these rapidly evolving fields.
