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Remote Teacher of Primary Mathematics - Part Time or Full Time (6:45 am to 3:30 pm UK Time) We are seeking an enthusiastic, hardworking, and highly motivated, qualified Maths Teacher or Primary Teacher from January 2026. This position is exciting in the innovative, inspiring and growing International British Online School. This is a fantastic opportunity for teachers to gain experience in one of the highest-performing, premier independent British Curriculum online schools in the world. This position is also an excellent opportunity for more experienced teachers to advance, as there will certainly be opportunities for progression as the school grows to full capacity over the next three years. Successful applicants must have: • A certified teaching qualification, such as B.Ed, PGCE, or equivalent (the PGCE must be accompanied by a subject-relevant Bachelor’s Degree)., • Exceptional subject knowledge in Mathematics and Primary Teaching, with extensive experience of teaching the British National Curriculum in Key Stages 1 & 2., • Experience of teaching KS3 Mathematics (preferably with Pearson International Examinations), • A desire to help build a thriving department in a new school., • A proven track record of providing outstanding teaching and learning., • A willingness to take part in extra-curricular activities after school. Desirable qualities: • Experience of teaching computer Science to KS3 & KS4, • Experience of teaching pupils with English as an Additional Language or English as a Second Language., • Experience in using Microsoft Teams and iSAMS., • Proficiency in computer literacy., • Experience of integrating technology into KS4 & KS5 teaching., • Previous international teaching experience. Planning expectations and targets • Set challenging teaching and learning objectives based on knowledge of the students, their past/current achievement, the expected standards for students of the relevant ages, and the range/content of work relevant to students., • Use these objectives to plan lessons and sequences of lessons in advance, showing how they will assess students’ learning, differentiating between students’ varying needs. • Select and prepare resources, including ICT, and plan for their safe and effective organisation as well as marking and giving regular feedback and intervention to students., • Work with department colleagues to develop schemes of work, teaching methodologies and resources. Monitoring and assessment • Use monitoring and assessment information to evaluate and extend students’ achievement., • Give frequent and constructive feedback to support students as they learn, following department policies on marking both classwork and online homework, and relating this to national standards where appropriate., • Manage students who fail to complete/hand in work, according to school policies., • Identify and support more able students, those working below expectations or failing to achieve their potential, and those with emotional/behavioural/social difficulties., • Record students’ progress and achievements systematically, using this to help students review their own progress and inform parents of students’ achievement at Parents’ meetings, on grade cards and in Reports or references., • Discuss with students their views about their own progress and strengths/weaknesses, using subject performance profiles, so as to set targets for future improvement. Online class management • A purposeful, disciplined learning environment, where students feel secure and confident., • High expectations of students’ academic behaviour, clear disciplinary structures following the Code of Conduct, and the promotion of self-control and independence. • Clearly structured lessons or sequences of work which interest and motivate students, and, • make learning objectives clear to students, • employ a variety of interactive teaching methods and collaborative group work., • promote active and independent learning, which enables students to think for themselves and to plan/manage their own learning, • Differentiated teaching where appropriate, to meet the needs of a variety of students., • An awareness of the varying needs of boys and girls, and those from different cultural/ethnic groups., • Effective organisation/management of teaching/learning time., • Efficient management of the physical teaching spaces, materials and resources., • Homework and other out-of-class work, which consolidates and extends work done in class and encourages students to learn independently. As a teacher at iBOS, you will: • Promote our mission and values., • Have the ability to generate excitement about learning., • Have a sense of humour., • Be emotionally intelligent. In return, we can offer you: • The opportunity to teach bright, engaging, and hardworking pupils., • An excellent working environment in a brand-new school., • Opportunity to teach from our Dubai Campus for parts of the year, fully paid., • The opportunity to get involved in an extensive enrichment programme., • An attractive salary, with additional performance-based benefits., • A good work/life balance with the hybrid model.

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The role of Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps Engineering Manager to lead and scale their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth., • Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy., • Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management., • Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs., • Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient., • Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning., • Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: • Proven experience leading an MLOps, ML Engineering, or Platform Engineering team., • Solid background in applied machine learning and a passion for platform disciplines., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management., • Knowledge of GPU computing for model training and serving., • Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed)., • Strong understanding of monitoring, logging, and observability for large-scale ML systems., • Experience in cost optimisation for compute/GPU workloads., • Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders., • Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities., • Experience with vendor management and contract oversight., • Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

PhD Graduate Software Engineer – Central London (flexible remote) - £40,000 - £45,000 Greenfield Projects | Progression Opportunity | Variety in Technology | Remote Working (Once a Fortnight Meet-Up) Ada Meher is currently resourcing for a candidate to join their client, a market leading consultancy, who are looking to add to their Software Development resource due to the demands of their upcoming project wins. The client always strives to use a “best fit” technology approach to solve their client’s software requirements resulting in a great opportunity to get exposure to a wide variety of tech – no two projects are ever the same. There will also be the opportunity to get involved across the full software development life-cycle from requirements gathering with clients right through to delivery. The business operate with a high degree of remote flexibility, meeting up as a team in the office once every fortnight, so they are open to applications from candidates across the UK but any applicants must be willing to travel into London as needed. The ideal candidate will have high level academic achievement with good algorithmic ability, and preferably a background in computer science or mathematics, and be enthused by the chance to develop creative solutions to enterprise level problems. Given the greenfield nature of the work there is plenty of opportunity for input from all levels on the design of the solution and a real chance for the right person to really make their mark. Those that come in and make an impact can expect to progress quickly as they develop their skills commercially, with progression based on measurable targets not time in role. To be considered: • Experience working with (academic experience is fine) or knowledge of programming (Python, R, MATLAB, C# etc), • Strong communication skills, • Educated to PhD level, • Demonstrable experience working with algorithms/problem solving The company in question is a market leader not only in the solutions that they provide to their clients internationally but also the technology the work on and the environment they create with many perks such as remote working and healthcare benefits. They aspire to create a relaxed environment where people can work on forward thinking technology solutions. This PhD Graduate Software Engineer role is attracting a high number of applicants at the moment so be sure to get in contact ASAP to avoid missing out. Please send a CV in confidence for more information.

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The role of Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps Engineering Manager to lead and scale their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth., • Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy., • Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management., • Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs., • Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient., • Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning., • Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: • Proven experience leading an MLOps, ML Engineering, or Platform Engineering team., • Solid background in applied machine learning and a passion for platform disciplines., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management., • Knowledge of GPU computing for model training and serving., • Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed)., • Strong understanding of monitoring, logging, and observability for large-scale ML systems., • Experience in cost optimisation for compute/GPU workloads., • Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders., • Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities., • Experience with vendor management and contract oversight., • Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

PhD Graduate Software Engineer – Central London (flexible remote) - £40,000 - £45,000 Greenfield Projects | Progression Opportunity | Variety in Technology | Remote Working (Once a Fortnight Meet-Up) Ada Meher is currently resourcing for a candidate to join their client, a market leading consultancy, who are looking to add to their Software Development resource due to the demands of their upcoming project wins. The client always strives to use a “best fit” technology approach to solve their client’s software requirements resulting in a great opportunity to get exposure to a wide variety of tech – no two projects are ever the same. There will also be the opportunity to get involved across the full software development life-cycle from requirements gathering with clients right through to delivery. The business operate with a high degree of remote flexibility, meeting up as a team in the office once every fortnight, so they are open to applications from candidates across the UK but any applicants must be willing to travel into London as needed. The ideal candidate will have high level academic achievement with good algorithmic ability, and preferably a background in computer science or mathematics, and be enthused by the chance to develop creative solutions to enterprise level problems. Given the greenfield nature of the work there is plenty of opportunity for input from all levels on the design of the solution and a real chance for the right person to really make their mark. Those that come in and make an impact can expect to progress quickly as they develop their skills commercially, with progression based on measurable targets not time in role. To be considered: • Experience working with (academic experience is fine) or knowledge of programming (Python, R, MATLAB, C# etc), • Strong communication skills, • Educated to PhD level, • Demonstrable experience working with algorithms/problem solving The company in question is a market leader not only in the solutions that they provide to their clients internationally but also the technology the work on and the environment they create with many perks such as remote working and healthcare benefits. They aspire to create a relaxed environment where people can work on forward thinking technology solutions. This PhD Graduate Software Engineer role is attracting a high number of applicants at the moment so be sure to get in contact ASAP to avoid missing out. Please send a CV in confidence for more information.

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The role of Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps Engineering Manager to lead and scale their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth., • Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy., • Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management., • Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs., • Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient., • Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning., • Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: • Proven experience leading an MLOps, ML Engineering, or Platform Engineering team., • Solid background in applied machine learning and a passion for platform disciplines., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management., • Knowledge of GPU computing for model training and serving., • Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed)., • Strong understanding of monitoring, logging, and observability for large-scale ML systems., • Experience in cost optimisation for compute/GPU workloads., • Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders., • Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities., • Experience with vendor management and contract oversight., • Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

This is an opportunity to shape early-stage drug discovery through innovative and predictive safety science.

QA Manager (Consultant) – GCP Compliance (Biotech / Phase II).We are a growing biotechnology company advancing.As we expand our clinical operations and global trial footprint, we are strengthening our Quality Management System and GCP oversight.The QA Manager (Consultant) will lead GCP quality ass

Conduct eligibility assessments, safety evaluations, and clinical reviews throughout the study lifecycle.

SaaS, data or technology solutions into the Life Sciences industry. A product and engineering organisation committed to innovation and strengthening their Life Sciences leadership. SaaS organisation operating at the forefront of Life Sciences intelligence.

Clinical Research Nurse (Part-Time, 3 Days/Week).Competitive, dependent on experience.We are a leading clinical research organisation committed to advancing patient care through high-quality clinical trials.We work across a variety of therapeutic areas, providing patients with access to cutting-edge

A confidential, high-growth life sciences strategy consultancy is looking for a.

Bachelor’s degree in a science-related field or equivalent experience.

Claims Adjuster, Healthcare and Life Science. Experience working on Life Science claims would be a bonus.

Associate Director of Business Development – Fast-Growing Site Network.Competitive + Performance-Based Incentives.My client is a dynamic and rapidly expanding site network at the forefront of clinical research, committed to delivering excellence across multiple therapeutic areas.As they continue t

A leading insurance company is seeking a Claims Adjuster to join their London team.The role focuses on Healthcare claims handling, especially Medical Malpractice.The successful candidate will ensure high-quality service, manage claims from start to finish, and foster strong relationships with stakeh

CRO or life sciences services sector. Build and maintain strong, long-term relationships with key decision-makers at global and regional life sciences organizations. Contract Research Organization (CRO) or related life sciences services company.

Experience in a similar role or personal life experience is required, maybe you have supported a friend or family member.

A leading life sciences company in the United Kingdom is seeking a strategic Vice President of Business Development.

As a Senior Care Assistant at a Barchester care home, you'll look after the different needs of our residents to enable us to deliver quality, person-centred care and support.Your role will involve supervising and inspiring a team of dedicated Care Assistants alongside the Deputy General Manager.You

CRO or life sciences services sector. Build and maintain strong, long-term relationships with key decision-makers at global and regional life sciences organizations. Contract Research Organization (CRO) or related life sciences services company.

Collaborating with multidisciplinary teams across science, data and clinical domains. Background in Bioinformatics, Biostatistics, Computational Genomics, Data Science or similar.

This is a role with real scope for impact - delivering high-value projects across multiple brands, helping prove the case for data science, and laying the groundwork for a team that will grow around you. Apply data science to varied datasets across multiple brands and business areas. Identify where

Updating clinical and non-clinical regulatory documents throughout their lifecycle. Excellent written and oral communication skill within medical/science area.

A life science degree is required, with a higher degree (MSc or PhD) considered desirable.

Advanced degree in life science.

You’ll work hands-on across the full end-to-end lifecycle - framing problems, developing models, and deploying solutions that create tangible commercial and operational value. Integrate data science outputs into wider BI products and operational workflows. Stay ahead of emerging data science and A

Established in 2005, Bioscript Group is formed from multiple, specialist businesses to support our global pharmaceutical clients; we draw on their multidisciplinary expertise to help navigate critical decisions at key points in the product lifecycle. Collaborating with cross-functional teams to crea

We have an exciting and exclusive opportunity for a Lead Medical Writer to join an established, independent and global full-service market access consultancy based in the UK.This is a leadership role, overseeing editorial quality and delivery, and supporting junior team members with training, coachi

Freyr is a fast-growing, innovative company specializing in providing end-to-end regulatory solutions and services for the Life Sciences industry.

Senior Data Scientist (Contract) – Forecasting + Modern NLP (BERT).Remote (UK/EU) | Outside IR35 | 6 months (likely extension).A leading UK platform is hiring 2 x.ML models while supporting key NLP projects.Propensity, churn, classification.Tree-based models & classical ML.Debugging, retraining &

An advanced degree in the life sciences with relevant medical writing experience within promotional medical communications. The Medical Writing team is a core part of the engine that powers our agency, collaborating fundamentally with our strategy and creative teams to bring projects to life and dri

We’re one of the UK’s largest media companies and we’re looking for a Data Scientist to join our Data Science team who are working on modelling business problems including, our next generation of intelligent pricing, marketing, customer engagement tools.

If you’ve been learning data science, working on projects, or trying to break into the field, this role is designed for. A graduate in data, maths, computer science, or a related field. Currently in an analyst role and wanting to move into data science.

Lab Technician – Materials Characterisation & Formulation Development.Temporary: 6-12 months with potential to be made permanent.A leading scientific organisation is seeking a proactive Lab Technician to join their team and support a diverse range of particle and powder characterisation, as well a

Content development and science tactical planning.

As a Data Scientist, you will bring expertise in developing and implementing machine learning models, and bridging the gap between data science and data engineering where necessary.

EPM Scientific is currently partnered with a boutique medical communications agency that is seeking an experienced freelance medical writer to support them in the New Year with their exciting fertility project.The details of the freelance project is as follows:.Deliverables: Slide Decks & Reference

You can get a feel for the #LYNXLife through our YouTube #LYNXLife playlist, Instagram, Facebook, LinkedIn, and Twitter. Everything this company achieves—every life it saves, every penny it makes, every policy it changes, every award it wins—is down to everyone who works here. We put a huge inve

PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience).

Service Care Solutions are currently working alongside a common local authority based in.This is an excellent opportunity to work amongst the legal experts and progress your career.Please find below further details with regards to the position.This role pays a competitive rate of:.This role is on a

Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Data Science experience in defence, aviation, operational research etc. Contribute to technical standards, best practices, and the ongoing growth of the data science capability.

This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous, reproducible science. A PhD (or equivalent experience) in st

Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. Skilled in data science platforms (e. Data Science / Data

Experienced Residential Support Workers – Hertfordshire (Children & Young People) 🌟.Pay every Friday | Fuel reimbursed | 1–12 week rolling contracts | Trauma informed training | Local.Our Registered Managers, QA Leads,.Social Care Manager and more live and work in.Hertfordshire, leading all o

A degree (or equivalent experience) in Data Science, Mathematics, Statistics, or similar. Access to lots of benefits to help you take care of you and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work sche

If you want a job where you actively shape how a data function operates — and directly define how your own role evolves as the company grows — this is it.Xcede has started working with a fast-growing leader in their emerging category of continuous AI auditing and independent model oversight.This

Hands-on Python for data science and ML.