of the shipping and industrialized industries to tailor generative AI solutions that address specific challenges and opportunities within these sectors Qualifications Requirements Master's or Ph.D. in Data Science, Computer Science, or a related field. Proven experience in developing and implementing generative AI models. Proficient in programming more »
ownership of projects and be self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages more »
London, England, United Kingdom Hybrid / WFH Options
BenchSci
the biological or science domains. 3+ years in technical leadership roles. 2+ years of experience working as a knowledge engineering manager. A Master’s or PhD in Computer Science, Bioinformatics, or a closely related field, with a strong emphasis on knowledge engineering, possibly also including machine learning. more »
ownership of projects and be self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM , and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages more »
of temporary staff. For further details please see the attached job description. Person Specification Qualifications Essential Good (1st or Upper 2nd class) Honours degree in a relevant subject Relevant MSc or equivalent Desirable Completion of Scientist Training Programme in a relevant discipline, or equivalent Relevant PhD Professional/ more »
machine learning You should have at least 1 year of professional experience in data science and machine learning, or hold a PhD or Mastersdegree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture more »
and machine learningYou should have at least 1 year of professional experience in data science and machine learning, or hold a PhD or Mastersdegree in a related field such as Computer Science, Maths, Physics, or EngineeringExperienced in MLOps, experienced delivering features end-to-end, from architecture design more »
databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc/PhD level - Computer Science or similar discipline Salary & benefits: As a Senior Software Engineer you will earn a competitive more »
languages: Python, Scala Experience working with distributed systems such as Spark Experience supporting and working with cross-functional teams in a dynamic environment. Degree/MSc in Applied Mathematics, Computer Science or equivalent Experience in the energy industry from the supply or trading side is desired but not more »
approach to work. Due to the plans for growth, there are a range of projects to be worked on, so there is a degree of flexibility to nuances of the hire. Responsibilities Designing and testing quantitative models/products Working directly alongside Fixed Income traders/Portfolio Managers more »
allowance + benefits Requirements for Graduate Software Engineer/Developer – Python/C/C++/Java First-class honours, or high 2.1 degree from a top-rated Universities in Computer Science, Computer Engineering, Maths, Physics or similar AAB at A Level or equivalent UCAS points Excellent object more »
issues with transparency. Qualifications: 6-10 years relevant industry experience Prior industry experience. Education: Bachelor’s/University degree, Master’sdegree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may more »
tools and DevOps best practices, e.g. Mockoon, Sonar and CI/CD principlesProven experience using React, Node.js, Jenkins, Terraform and Agile methodologiesBachelor'sdegree/master'sdegree in computer science, Computer Engineering, or other STEM fieldIt would be great if you more »
Innovation strategy. Training and Support: Create training materials and support users in new technologies. Qualifications and Experience Education: Bachelor’s or Master’sdegree in Computer Science, Data Science, or related field. Experience: Proven experience in data science, AI, or machine learning, preferably in more »
as C++/Python are desirable). They will also have experience working with SQL databases. Ideal candidates will have: Bachelors or Master’sdegree in Computer Science, Mathematics, Statistics or related field 2 - 8 years of experience in software development within a hedge fund more »
methodologies. Excellent communication and interpersonal skills. Ability to adapt and thrive in a dynamic, fast-paced environment. Data Scientist Qualifications: Bachelor'sdegree/MSc in Data Science, Statistics, Computer Science, or a related field. Proven experience in data analysis, reporting, and visualization. Proficiency in data analysis more »
London, England, United Kingdom Hybrid / WFH Options
DiverseJobsMatter
best practices. Help analyse/profile existing projects and improve upon them. Knowledge, Skills and Experience Currently pursuing a bachelors or masters level degree in computer sciences or games development at UK university. Strong C++ programming and debugging skills. Good maths and problem-solving skills. An understanding of more »
Humber and North Yorkshire Integrated Care Board (857)
Masters level or equivalent level In depth specialist knowledge of information analysis and the use of information across the NHS acquired through a degree or equivalent. Evidence of continued further professional development Extensive experience in data engineering within the healthcare sector, with a focus on NHS data systems more »
to improve model performance and implementation practices.Ensure Security: Adhere to security and compliance standards in ML deployments.Requirements:Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field.Experience: 2-3 years in ML, data engineering, or MLOps.Abilities: Strong analytical, problem-solving, and communication more »
model performance and implementation practices. Ensure Security: Adhere to security and compliance standards in ML deployments. Requirements: Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field. Experience: 2-3 years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving more »
organisation. Ability to address issues that arise during Software and Hardware integration. About you: Minimum of 4 years' experience in Software Engineering. Master's or Ph.D. in Computer Science/Electrical Engineering etc, or a related field. Great knowledge of Cloud Architecture (AWS). Extensive experience in more »
organisation. Ability to address issues that arise during Software and Hardware integration. About you: Minimum of 4 years’ experience in Software Engineering. Master’s or Ph.D. in Computer Science/Electrical Engineering etc, or a related field. Great knowledge of Cloud Architecture (AWS). Extensive experience in more »
drive success in an ever-evolving market landscape. Essential Skills/Basic Qualifications: A strong academic background with a minimum of an Honours degree, Masters or PhD (or equivalent) in a quantitative subject such as Mathematics, Physics, Operational Research, Economics, or Finance. Demonstrated proficiency in coding languages such more »
Experience in either development or validation would be relevant. Experience in C#/C++/Python. You will ideally hold a PhD or Mastersdegree in a numerate subject such as Mathematics, Financial Mathematics, Physics, Engineering with 3-5 years experience as a Quantitative Developer/Analyst. Strong more »
as Greeks;Experience in either development or validation would be relevant.Experience in C#/C++/Python.You will ideally hold a PhD or Mastersdegree in a numerate subject such as Mathematics, Financial Mathematics, Physics, Engineering with 3-5 years experience as a Quantitative Developer/Analyst. Strong more »
