9 of 9 Permanent Mathematics Jobs in Newcastle upon Tyne

in the software development field and M-RAS and proactively explore their implementation within the company Qualifications, skills and experience: A degree in Software Engineering, Computer Science, Physics or Maths with a grade of at least a 2:1 or an equivalent qualification and experience. Proven experience in relevant industry that will complement and enhance RAS development Experience with Linux More ❯

physics problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in mathematics, inductive/deductive reasoning, physical/temporal/spatial reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

physics problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in mathematics, inductive/deductive reasoning, physical/temporal/spatial reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

physics problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in mathematics, inductive/deductive reasoning, physical/temporal/spatial reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

written communication skills. Logical problem-solving skills and attention to detail. Ability to work independently and within a team. Grade 5 in GCSE English and Grade 4 in GCSE Mathematics Salary, Hours&Benefits: £16,000 per annum Monday to Friday 8:30am - 5:00pm Flexible start and finish times 21 days holidays plus bank holidays Extra day off for your More ❯

solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn, this is the perfect opportunity to kickstart your career. What You’ll Be Doing You’ll … strong technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms More ❯

career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger to learn — we want to hear from you. What You’ll Be Doing You … a seasoned expert — we’re looking for potential , passion , and a strong foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or More ❯

gain hands-on experience working on real data challenges, learning from experienced professionals, and contributing to impactful projects from day one. Whether your background is in Data Science, Statistics, Mathematics, Computer Science, or a related field, if you have strong analytical skills and a passion for learning, we want to hear from you. What You’ll Be Doing As a … the latest tools, libraries, and techniques in data science and machine learning. What We’re Looking For Essential: A recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic More ❯

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those More ❯