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.
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.
Cambridge University Press & Assessment
Cambridge - Triangle/Hybrid (2 days per week in the office)
Job title: Senior Machine Learning Research Engineer
Salary: £64,490 - £86,255
Location: Cambridge - Triangle/Hybrid (2 days per week in the office)
Contract: Permanent
Hours: Full Time (35 hours per week)
Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.
This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services.
About the Role
As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.
Key Responsibilities:
Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development.
Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery.
Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations.
Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven.
Mentor junior team members.
About You
To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions.
Essential Qualifications & Skills :
Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component.
Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.
Strong track record of successfully translating academic research into real-world applications and products.
Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery
Deep experience in Python and PyTorch/TensorFlow.
Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).
Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.
Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions.
Proactiveness in communicating issues and suggesting solutions.
Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems.
Ability to supervise a sub-team and mentor junior colleagues (can be developed on-the-job).
Desirable:
PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field.
Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.
Experience in applying machine learning to educational assessment and learning solutions
Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields.
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
We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability.
Ready to pursue your potential? Apply now.
We review applications on an ongoing basis, with a closing date for all applications being 29 March 2026 although we may close it earlier if suitable candidates are identified. We'll set up interviews on a first-come, first-served basis.
Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.
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.
Why join us
Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's 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's 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.
Job title: Senior Machine Learning Research Engineer
Salary: £64,490 - £86,255
Location: Cambridge - Triangle/Hybrid (2 days per week in the office)
Contract: Permanent
Hours: Full Time (35 hours per week)
Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.
This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services.
About the Role
As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.
Key Responsibilities:
Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development.
Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery.
Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations.
Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven.
Mentor junior team members.
About You
To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions.
Essential Qualifications & Skills :
Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component.
Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.
Strong track record of successfully translating academic research into real-world applications and products.
Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery
Deep experience in Python and PyTorch/TensorFlow.
Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).
Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.
Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions.
Proactiveness in communicating issues and suggesting solutions.
Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems.
Ability to supervise a sub-team and mentor junior colleagues (can be developed on-the-job).
Desirable:
PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field.
Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.
Experience in applying machine learning to educational assessment and learning solutions
Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields.
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
We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability.
Ready to pursue your potential? Apply now.
We review applications on an ongoing basis, with a closing date for all applications being 29 March 2026 although we may close it earlier if suitable candidates are identified. We'll set up interviews on a first-come, first-served basis.
Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.
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.
Why join us
Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's 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's 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.
IT Jobs
Cambridge, Cambridgeshire
Machine Learning Research Engineer A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape. Location: Cambridge – remote initially, but office due to return in coming months Salary: Up to £100,000 depending on experience Requirements for Machine Learning Research Engineer * A Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in Machine Learning / AI * Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level * Published papers * Good understanding of software engineering concepts * Ability to code in Python * Experience working with large data sets (desirable) Responsibilities for Machine Learning Research Engineer * Join a small team responsible for investigating the latest research in machine learning algorithms – largely within the NLP and Computer Vision fields * Make suggestions based on the feasibility of research to help shape future projects and products * Prototyping research concepts * Determining output quality, efficiency, and feasibility compared with other techniques What this offers * Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates * Highly interesting work researching the next phases of cutting-edge, machine-learning software * A good remuneration and benefits package Applications If you would like to apply for this unique Customer Success Manager opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). Keywords: Python/ Deep Learning / Machine Learning / NLP / Natural Language Processing / Computer Vision / Research / Post-Doc / Ph.D. / DPhil / Computer Science / Mathematics / Physics / Engineering/ Text Analytics / Speech processing / Software Engineer / Research / Reseaching / Journals / AI / Artificial Intelligence / Machine Vision / Neural Networks / Developer / Algorithm ******************************************************************************** RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
Machine Learning Research Engineer A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape. Location: Cambridge – remote initially, but office due to return in coming months Salary: Up to £100,000 depending on experience Requirements for Machine Learning Research Engineer * A Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in Machine Learning / AI * Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level * Published papers * Good understanding of software engineering concepts * Ability to code in Python * Experience working with large data sets (desirable) Responsibilities for Machine Learning Research Engineer * Join a small team responsible for investigating the latest research in machine learning algorithms – largely within the NLP and Computer Vision fields * Make suggestions based on the feasibility of research to help shape future projects and products * Prototyping research concepts * Determining output quality, efficiency, and feasibility compared with other techniques What this offers * Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates * Highly interesting work researching the next phases of cutting-edge, machine-learning software * A good remuneration and benefits package Applications If you would like to apply for this unique Customer Success Manager opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). Keywords: Python/ Deep Learning / Machine Learning / NLP / Natural Language Processing / Computer Vision / Research / Post-Doc / Ph.D. / DPhil / Computer Science / Mathematics / Physics / Engineering/ Text Analytics / Speech processing / Software Engineer / Research / Reseaching / Journals / AI / Artificial Intelligence / Machine Vision / Neural Networks / Developer / Algorithm ******************************************************************************** RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
