West London, London, United Kingdom Hybrid / WFH Options
Hays
you'll need to succeed As well as strong communication skills for dealing with internal collaborators and stakeholders, you should have: An MSc/PhD (or equivalent experience) in computational chemistry or a life sciences discipline such as chemistry, biochemistry, bioinformatics, or similar with a strong computational element A track more »
understanding of process and controls related risks, "basis of safety", and management of safety critical devices and systems. Requirements for the role: Degree/PhD in engineering, ideally having achieved Chartered/Incorporated status - Essential. Significant experience in a range of technical areas coupled with people management/project leadership more »
of the team Looking at more advanced GenAI techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in customer-driven modeling, with more »
ability and desire to learn new skills quickly Academic background in a relevant quantitative field, e.g. statistics, engineering, computer science, with an advanced degree (PhD/MSc) in one of these disciplines preferred For engineering, proficiency in testing, packaging and deployment in Python Education (if blank, degree and/or more »
Conduct macro analysis and build predictive models Research and develop quantitative trading strategies across FI, FX and commodities Build tools for systematic trading Requirements: PhD or Master's degree in a quantitative discipline such as Mathematics, Physics, Computer Science, or Engineering At least 2 years of experience in finance Proficiency more »
of communication will be key as you will also have the opportunity to be client facing if you wish. You’ll need: MSc OR PHD in a STEM subject – ideally from a top UK university Experience with Python/TensorFlow/Keras Solid knowledge & understanding of Machine Learning/Data more »
but also take ownership of projects and be self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, 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 »
Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion for data science and mentoring, and a desire to share knowledge. PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset. more »
and manipulating large scale behavioural data to understand what drives peoples choices. Think strategically actively problem solving and providing solutions end to end REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Extremely self-motivated and able to operate independently within a start-up environment Strong more »
leadership Occasional work with clients, going on pitches and presenting key findings Deploying models alongside Engineering best practices Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong experience in commercially driven Data Science work Candidates must have prior experience in consultancy and ideally customer ML/ more »
LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could be of interest and more »
with traders, researchers, and risk managers to identify opportunities for alpha generation and risk mitigation. Developing the data and IT infrastructure. Requirements: MSc or PhD in Computer Science, Engineering, Mathematics, Finance, or a related field; advanced degree preferred. Proven track record of leadership in a quantitative trading or financial technology more »
also take 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 »
standards for the machine learning engineering team and provide support across various disciplines under the guidance of leadership. Your Skills and Experience: MSc or PhD level education in STEM subjects. Proven expertise in implementing Machine Learning and NLP models using Bert, Roberta, GPT4, etc. and NLP Open-Source Libraries. Strong more »
relationships and contribute to proposal development. Manage diverse teams within an inclusive team culture, fostering recognition for contributions. Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong background in architecture and data science with expertise in AI/ML concepts and cloud-based implementations across multiple more »
direct impact of your work on the business. This will be US equities intraday trading. Essential Skills: Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering etc.). Programming experience in one major language (C++, C#, Python etc.). Alpha researcher from an equities/stat more »
Funds/Prop Trading firms. These roles suit individuals for which this will be your 2nd/3rd job post BSc, MSc/MA, PhD, (1 of which will have been in ComSci), so you’ll likely have 2 to Max. 10 yrs’ exp (albeit as a Programmer it's more »
as other institutional clients. The environment is F# but will be happy to consider C# developers willing to transition. Requirements: BSc/MSc/PhD in Computer Science or related discipline. 5+ years experience working on high performance, mission critical systems in C# or F#. Experience working in a small more »
Senior Fellow of the Higher Education Academy within 3 years of commencement date in post (if not already SF-HEA). Desirable: Hold a PhD/EdD in an academic discipline relevant to the school. Relevant professional qualification/membership of a professional body where appropriate for the school. This more »
developing pricing libraries in C# or C++ Experience supporting front office tools (e.g. Excel pricing sheets) Experience in calibration of Stochastic & Local Volatility desirablle PhD or Masters educated in a relevant quantitative field more »
with insightful white papers Provide expertise to shape industry standards and platforms Engage with the research community through committee memberships and editorial roles Requirements: PhD in computing systems or equivalent industry experience Proven track record of publishing research papers Strong interpersonal skills for effective collaboration Expertise or at least relevant more »
writing documentation, updating the programs to enhance the robustness and flexibility. Minimum Requirements Solid R programming skills, and/or SAS. Master degree or PhD candidate related to quantitative science. Solid R programming skills (have used packages such as Tidyverse, ggplot2, R shiny and some statistical packages), and SAS knowledge more »
role will involve hands on establishment of fermentation processes with coached development strategy and leadership skills in parallel. What experience you'll need: • A PhD in biology, biotechnology, biochemistry, bioprocessing or a similar relevant area. • 3-6 years of relevant experience post PhD. • Expertise in fermentation process development, especially interfacing more »
with non-technical stakeholders including C-level to ensure projects are being delivered efficiently and accurately SKILLS AND EXPERIENCE Degree in a relevant subject - PhD/Master's level minimum Commercial experience using SLAM and Computer Vision techniques Experience deploying Computer Vision models onto the cloud is essential Tech: Python more »
Helping to definite the future direction of Innovation within this global brand. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. more »
