106 Machine Learning Architect jobs in the United Kingdom
AI Specialist (m/w/d) – Computer Vision & Deep Learning
Posted 10 days ago
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Berlin | Vollzeit | Hybrides Arbeiten möglich
Wir suchen Dich – für den nächsten Schritt in der Welt der KI-gestützten Bildverarbeitung!
Du brennst für Machine Learning und Deep Learning? Dein Herz schlägt für innovative Anwendungen in Computer Vision und Bildanalyse? Dann komm in ein Team, das sich der Weiterentwicklung intelligenter Bildbearbeitungslösungen verschrieben hat!
Deine AufgabenÜbernimm eine zentrale Rolle in unserem Innovationsteam und entwickle KI-gestützte Teilprozesse für Bilderkennung, Retusche und Bildoperationen weiter.
Konzipiere und implementiere Machine-Learning- und Deep-Learning-Modelle – insbesondere CNNs – mit Fokus auf Stabilität, Performance und Kundennutzen.
Nutze umfangreiche Datensätze aus bearbeiteten und unbearbeiteten Bildpaaren als Grundlage für Training und Optimierung deiner Modelle.
Bringe deine Ideen ein, teste neue Ansätze und entwickle Lösungen, die die Qualität und Effizienz unserer Services auf ein neues Level heben.
VoraussetzungenFundierte Erfahrung in Machine Learning und Deep Learning – idealerweise mit Schwerpunkt auf Convolutional Neural Networks (CNNs).
Kenntnisse in Computer Vision und Bildanalyse-Techniken (z. B. Filterung, Segmentierung, Merkmalsextraktion) sind ein starkes Plus.
Souveräner Umgang mit Frameworks und Libraries wie TensorFlow, PyTorch, Keras oder OpenCV.
Spaß an praxisnaher Entwicklung und dem kreativen Einsatz großer Bilddatenbestände.
Du sprichst fließend Deutsch oder Englisch.
VorteileEin abwechslungsreiches Umfeld mit echten Gestaltungsmöglichkeiten und viel Raum für neue Ideen.
Flexible Arbeitszeiten, die Möglichkeit auf Homeoffice und ein Standort mitten in Berlin mit exzellenter Verkehrsanbindung – Jobticket-Zuschuss inklusive.
Moderne Tools, hochwertige Ausstattung und ein großartiges, kollegiales Team.
Kostenlose Snacks, Obst, Kaffee und regelmäßige Teamevents gehören für uns genauso dazu wie gezielte Unterstützung bei Seminaren und Fortbildungen.
Wir legen Wert auf eine offene, vertrauensvolle Arbeitsatmosphäre – niemand schaut dir über die Schulter, das Ergebnis zählt!
Klingt spannend? Wir freuen uns darauf, dich kennenzulernen! Bewirb dich einfach direkt über unser Online-Formular oder sende uns deine Unterlagen inklusive Starttermin und Gehaltsvorstellung.Senior AI/ML Research Scientist Data Science and Machine Learning
Posted today
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£60,000 - 70,000 GBP
+ Bonus & Package
Onsite WORKING
Location: Chelmsford, East of England - United Kingdom Type: Permanent
Senior AI/ML Research Scientist - Data Science and Machine Learning
Location: Chelmsford, UK (with flexible UK-wide options)
Job Type: Full-time Permanent
Security Clearance: Must be eligible for UK security cle.
WHJS1_UKTJ
Data Science Lead
Posted 13 days ago
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Data Science Lead - Product
75,000
Hybrid - Central London (2-3 days onsite: Tues, Wed, Thurs)
Permanent | Full-time
Mentmore have been exclusively engaged by one of the world's leading Law firms to build out their Data Science capability. My client is looking for someone to sit within the Data Product area and lead the Data Science capability for the Product organisation. They're investing heavily in their data capability and need a Lead Data Scientist to drive innovation, shape future data products, and lead high-impact projects across the business.
What You'll Do
- Lead the development of innovative, enterprise-grade data solutions and advanced analytics capabilities, working on high-impact initiatives including AI, automation, and new data products.
- Lead the design and development of analytics solutions, ML prototypes, and intelligent automation tools.
- Collaborate across Product, Platform, and Engineering teams to ensure your solutions are scalable and robust.
- Take ownership of solution design, prototype development, strategic experimentation and integrating solutions into broader product and platform architecture
- Contribute to the firm's AI strategy and roadmap
- Build robust, interpretable models for forecasting, classification, clustering, and optimisation.
- Act as a change agent - helping business users understand the why , not just the what .
- Mentor and support other data scientists, nurturing a culture of experimentation and excellence.
What You Bring
- A strong data science background with experience in fast-paced, commercial environments.
- Strong background in Python , SQL , and Power BI .
- Experience designing and delivering end-to-end analytics solutions .
- Comfortable engaging with senior stakeholders and translating business goals into data strategy.
- A collaborative, people-first approach - you bring others with you on the journey.
- Bonus: experience leading small teams or mentoring junior talent.
Why This Role Rocks
- Be part of a Product-led Innovation team where experimentation is encouraged and supported.
- Shape the data strategy and deliver solutions that will have immediate and visible business impact.
- Work cross-functionally with Product, Engineering, and Legal Innovation teams.
- Be seen. Be heard. Have real influence.
Data Science Lead
Posted today
Job Viewed
Job Description
Data Science Lead - Product
75,000
Hybrid - Central London (2-3 days onsite: Tues, Wed, Thurs)
Permanent | Full-time
Mentmore have been exclusively engaged by one of the world's leading Law firms to build out their Data Science capability. My client is looking for someone to sit within the Data Product area and lead the Data Science capability for the Product organisation. They're investing heavily in their data capability and need a Lead Data Scientist to drive innovation, shape future data products, and lead high-impact projects across the business.
What You'll Do
- Lead the development of innovative, enterprise-grade data solutions and advanced analytics capabilities, working on high-impact initiatives including AI, automation, and new data products.
- Lead the design and development of analytics solutions, ML prototypes, and intelligent automation tools.
- Collaborate across Product, Platform, and Engineering teams to ensure your solutions are scalable and robust.
- Take ownership of solution design, prototype development, strategic experimentation and integrating solutions into broader product and platform architecture
- Contribute to the firm's AI strategy and roadmap
- Build robust, interpretable models for forecasting, classification, clustering, and optimisation.
- Act as a change agent - helping business users understand the why , not just the what .
- Mentor and support other data scientists, nurturing a culture of experimentation and excellence.
What You Bring
- A strong data science background with experience in fast-paced, commercial environments.
- Strong background in Python , SQL , and Power BI .
- Experience designing and delivering end-to-end analytics solutions .
- Comfortable engaging with senior stakeholders and translating business goals into data strategy.
- A collaborative, people-first approach - you bring others with you on the journey.
- Bonus: experience leading small teams or mentoring junior talent.
Why This Role Rocks
- Be part of a Product-led Innovation team where experimentation is encouraged and supported.
- Shape the data strategy and deliver solutions that will have immediate and visible business impact.
- Work cross-functionally with Product, Engineering, and Legal Innovation teams.
- Be seen. Be heard. Have real influence.
Data Science Specialist
Posted 4 days ago
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Job Description
2025-07-16
**Country:**
United Kingdom
**Location:**
HS Marston Aerospace Limited, Wobaston Road, Fordhouses, Wolverhampton, WV10 6QJ
**Position Role Type:**
Unspecified
**Power & Controls:**
We make modern flights possible for millions of travelers and our military every second. Our major product lines are on-board virtually every aircraft flying. Be it keeping passengers safe with our emergency power generation systems or creating a positive in-flight experience through reliable cabin pressure controls and quieter engines, Power & Controls focuses on delivering a best-in-class experience to our customers. We hire the top people in the industry. Their ideas drive our performance, and their integrity keep our customers happy. Join us as we take flight!
_Thermal and Fluid Management product lines are led from the Marston facility, which is based in Wolverhampton, as part of the Collins Aerospace Power and Controls Strategic Business Unit._
Join Collins Aerospace to help us revolutionize the aerospace industry today!
**Do you have:-**
Practical experience working within an industrial environment.
Together with Teamcenter PLM experience.
**Responsibilities:**
**Development and Maintenance of Teamcenter PLM Tool:**
+ Create and maintain workflows and other automated processes within the Teamcenter PLM tool to ensure efficient and effective operations.
+ Troubleshoot and resolve issues related to the Teamcenter PLM tool to support the engineering team's needs.
**Driving Data Strategy for Engineering:**
+ Support the development and implementation of the data strategy for the Engineering function, focusing on leveraging emerging technologies in data science and machine learning.
+ Work closely with the Engineering leadership team and other Collins resources to identify opportunities for innovation and process improvement.
+ Develop and deploy advanced data analytics and machine learning models to enhance the capability and efficiency of Engineering operations.
+ Advocate for data-driven decision-making within the Engineering team and promote the adoption of new technologies and methodologies.
+ Monitor industry trends and advancements in data science to ensure the organisation remains at the forefront of technological innovation.
+ Collaborate with cross-functional teams to ensure data integrity, security, and accessibility.
**Required Qualifications:**
+ Bachelor's degree in Engineering, Computer Science, Data Science, Information Technology, Science, or a related field.
+ Expertise in data science, including machine learning, data analytics, and data strategy development.
**Preferred Skills:**
+ Experience with Teamcenter PLM tool development and maintenance.
+ Excellent problem-solving and analytical skills.
+ Strong communication and collaboration abilities.
+ Experience working in an aerospace or defence environment is a plus.
+ Familiarity with data governance and data management best practices.
**What We Offer**
Some of our competitive benefits package includes:
+ Competitive Salary
+ Holiday entitlement is 25 days- plus bank holidays, plus ability to buy / sell up to 5 days
+ Standard Pension scheme 2:1 (matched up to max 10%)
+ Group Income Protection: 13 weeks full pay then 13 weeks 50%
+ Private Medical Insurance
+ Employee Assistance Program, further details of which are available from the Human Resources department.
+ RTX Scholar Program - further education
+ Employee selectable top up benefits
+ And so much more!
**Additional Information:**
+ This role may require occasional travel.
+ Ability to work in a dynamic and fast-paced environment.
Please don't hesitate to get in touch if you have any questions about this role-I'm always happy to help clarify any details. I look forward to hearing from you.
This position may involve access to export controlled information and hardware where an export license would be required for compliance with applicable laws and regulations. Employment will be subject to satisfactory security checks, export license approval, and if required, completion of a non-disclosure agreement _._
_RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law._
**Privacy Policy and Terms:**
Click on this link ( to read the Policy and Terms
Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Manager Data Science
Posted 4 days ago
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Job Description
**Are You Ready to Make It Happen at Mondelez International?**
**Join our Mission to Lead the Future of Snacking. Make It** **With** **Pride.**
You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**About the role**
In this role you will:
+ Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
+ Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.
+ Support the team in analyzing?and deriving value from data using application methods such?as statistics,?time series modelling, machine learning and data?visualization?
+ Help the team determine, create and maintain the best time series / machine learning models be to use, taking into accountSKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.
+ Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.
+ Collaborate with stakeholders toidentify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.
**The experience we are looking for:**
+ A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.
+ 5+ years of experience in data science, preferably with a focuson time series forecasting,FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.
+ Experience in application of ML concepts and methodologies (particularlytime series modeling, but also regression, classification, feature engineering and selectionetc.)
+ Proficiency in SAS, SQL, Python,and other programming languages to communicate effectively with technical teams.
+ Excellent communication and presentation skills, ability to explaincomplex analytical topics to both technical and non-technical stakeholders.
+ Advanced English
**What we offer**
+ Exciting work in a multi-cultural team of bright minds.
+ Global career opportunities.
+ Flexible remote work options, or - if you prefer - access to one of our modern offices.
+ All kinds of benefits depending on the location.
**Relocation Support Available?**
No Relocation support available
**Business Unit Summary**
**We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!**
**_Our people make all the difference in our succes_**
Mondelez International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Excited to grow your career?**
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
**IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER**
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelez International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Data Science Manager
Posted 4 days ago
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Job Description
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet
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Data Science Associate
Posted 6 days ago
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Metyis is growing! We are looking for a Data Science Associate with 3-4 years of experience to join our Data and Analytics team in London.
Who we are
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.
What we offerInteract with our clients on regular basis, to drive their business towards impactful change.
Work in multidisciplinary teams and learn from motivated colleagues.
A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.
Become part of a fast growing international and diverse team.
Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.
Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
Communicate analyses via compelling presentations.
Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.
Prepare and facilitating workshops.
Manage stakeholders and communicating with executives.
Coach and mentor team members.
3-5 years of professional work experience in the analytics domain.
An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).
An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.
Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).
Ability to talk the language of statistics, finance, and economics a plus.
Profound knowledge of the English language.
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Data Science Intern
Posted 513 days ago
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About Low Carbon
Low Carbon is a purpose driven company that creates large-scale renewable energy in the global fight against climate change. Our mission is to protect the planet for future generations while delivering positive returns for our communities and investors. Our goal is to produce as much new renewable energy as possible while limiting our own environmental impact. We do this by developing, investing in, and operating large-scale renewable energy projects across the globe.
Our partnership with the Massachusetts Mutual Life Insurance Company (MassMutual) is enabling us to accelerate the deployment of large-scale renewable energy and underpins our ambition to transform the global energy sector from fossil fuels to zero carbon.
All of us at Low Carbon know that trust is a vital component of the climate fight. We are a long-standing certified B-Corporation, a reflection of our fundamental ethos to balance the needs of the environment and society with our bottom line.
We are extremely proud of the highly professional and talented team at Low Carbon. We have built a positive learning culture that incorporates respect, trust, collaboration, and a shared passion to combat climate change. It is an open, friendly and supportive environment, and we are proud to say we work here. As we grow, we are committed to increasing diversity in the team, and continuing to foster an inclusive environment where we can learn from each other.
Role Description
The Low Carbon Data Science Internship is a 10-week summer program for undergraduate, graduate students and/or recent graduates. We want our internship colleagues to develop their skills in these emerging fields by working on real-world projects that make an impact on climate change and our business.
In 2023, our Data Science Summer Interns worked on deploying AI solutions across our business, on topics ranging from Renewable Asset Management, to Investment and Finance, presenting insights to our Executive Committee.
For our 2024 program, the successful candidate will form a crucial member of a small squad deployed on a real world business problem within the renewable energy industry. During the program there will be learning and support, including mentorship from subject matter experts in the business, and input and feedback from our senior industry professionals
Key Responsibilities
Working with other interns and project mentors, you will:
- Use Data Science to help solve a specific, live business challenge at Low Carbon
- Frame and structure practical solutions to challenging business problems
- Work in Agile Sprints to iteratively design, test and run trial solutions
- Present findings and key recommendations to senior stakeholders
Person Specification
- Undergraduate students, postgraduate students, or recent graduates from degrees in computer science, data science, statistics, mathematics, engineering and related fields
- A genuine interest in climate change and the role technology and data can play in solving some of our biggest climate challenges
- Eligible to work in the UK, on a 40-hour per week basis, continuously, from 8th July to 13th September
- An enthusiastic and committed team player who will work well with internship colleagues and key business stakeholders
- Energetic, reliable, adaptable and used to using their initiative
- A friendly, approachable and professional manner
Skills & Experience
- Practical experience of Programming in Python
- Demonstrable Data Science project experience (inside or outside classroom)
- Sound knowledge of fundamental statistical concepts
- Excellent problem-solving ability
- Ability to communicate results and present findings to a variety of stakeholders
Our Compensation & Benefits
- Competitive salary
- 26 days holiday + your birthday off (pro-rata for the duration of your internship)
- Lots of office social events
- Working in newly fit-out offices in Central London
- Get to work with an experienced, talented team of renewable energy professionals
- Be a part of a dynamic, entrepreneurial mission driven culture
- Make your unique contribution to the fight against climate change
Senior Data Science Engineer (Applied Data Science / SAAS)
Posted 13 days ago
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Senior Data Science Engineer (Applied Data Science / SAAS)
Location: Hybrid - 2 days per week in either Hampshire or Worcestershire
Salary: 50,000 - 55,000 (DOE)
Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life?
We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation.
You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science lifecycle and enjoys both experimentation and delivery.
Key responsibilities include:
- Building and refining models to support decision-making and customer insight
- Designing and developing analytics tools and pipelines for internal and external use
- Supporting productionisation of models and analytical workflows
- Promoting best practices in reproducible, ethical and explainable data science
- Exploring new technologies and techniques to evolve the data offering
What We're Looking For
- Strong experience in a Data Science or Machine Learning role
- Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation
- Comfortable working with varied datasets and translating findings for non-technical audiences
- Understanding of modern data workflows (version control, notebooks, testing, etc.)
- Strong communicator with a practical, delivery-focused mindset
Nice to have:
- Experience deploying or supporting ML models (e.g. regression, classification, recommendation)
- Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar
- Exposure to cloud platforms (Azure preferred), APIs or data services
Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK .
If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you.
Apply now to take your next step in applied data science.