101 to 125 of 236 Physics Jobs in London

Sales Consultant/Customer Solutions Engineer/Systems Engineer/Product Specialist/Technical Advisor/Solutions Architect/Computer Science/Software Engineering/Mathematics/Engineering/Physics/Astrophysics/Software Engineering/Chemistry/Software Development/Technical Consultant/Product Support/Product Manager/Project Manager/Analyst/Pre-Sales Consultant/Graduate …/Trainee/Entry-Level/Maths/Physics/Computer Science/Engineering/Mathematics ********************************************************************************* RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate More ❯

artificial intelligence and more. We have recently moved into a new office in Islington with state of the art cryogenic facilities and have an outstanding interdisciplinary team spanning quantum physics to IC design. Our Team Since 2021 our team has been listed every year in the "Top 100 Startups worth watching"in the EE Times, and our technology breakthroughs have … this role you will be part of the IC Design team. The goal of the team is to design circuits that interface with quantum devices. No background in quantum physics is required. This is a rare and exciting opportunity to be an early employee at a start-up shaping the future of quantum computing, and in particular to form a More ❯

and hedging exposure management Expert-level coding skills in a language such as Python, C#, or C++ Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related. Please reach out for further info More ❯

and hedging exposure management Expert-level coding skills in a language such as Python, C#, or C++ Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related. Please reach out for further info More ❯

scikit-learn and pandas/numpy Experience creating NLP/DL/RNN models Experience with Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics or similar Desirable Requirements: NoSQL databases - Elasticsearch, MongoDB etc (bonus) Modern Data tools such as Spark/Beam (bonus) Streaming technologies such as Spark/Akka Streams (bonus) Tagged as More ❯

and market risks and solutions to manage and optimise risks within the firm's risk framework. WORK EXPERIENCE/BACKGROUND: Essential Quantitative degree from a Top Tier institution (Maths, Physics, Engineering, Computer Science, Finance or Economics) Between 4 and 7 years of experience in a Quantitative-intensive role: Risk Management, Quant, Trading, Structuring Experience in data analysis Experience in coding More ❯

and end-to-end optimisation experience. End-to-end systems modelling experience, including RF and optical. Strong Python skills for Test automation and scripting. PhD degree in optical communications, physics, or other relevant fields or experience within the industry; What's in it for you? Up to £100k DOE Lucrative stock options. 25 days holiday + bank holidays. Hybrid working. More ❯

teams. Present your work to technical and non-technical audiences, helping shape data strategy across industries. 🎯 What We’re Looking For: PhD in Computer Science, Machine Learning, AI, Statistics, Physics, Engineering, or a related field. Strong Python skills; Spark, SQL, and experience with large datasets is a plus. Proficiency with ML libraries (e.g. Scikit-learn, Pandas) and data visualisation tools. More ❯

teams. Present your work to technical and non-technical audiences, helping shape data strategy across industries. 🎯 What We’re Looking For: PhD in Computer Science, Machine Learning, AI, Statistics, Physics, Engineering, or a related field. Strong Python skills; Spark, SQL, and experience with large datasets is a plus. Proficiency with ML libraries (e.g. Scikit-learn, Pandas) and data visualisation tools. More ❯

Data Engineer Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking More ❯

reliable orbit and attitude calculations. Provide real-time operational support, including on-console activities during critical mission phases. Fundamental Requirements Educational Background: Bachelor's degree in Aerospace Engineering, Mathematics, Physics, or a related field. A Master's degree is preferred. Industry Experience: 3+ years experience in satellite flight dynamics, including orbit determination, maneuver planning, and attitude control. Experience with satellite More ❯

Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in an object-oriented or functional language such as C++, Java, or Python. Self-motivated with strong self-management skills, capable More ❯

Strong proficiency in Java, including multi-threaded programming and modern frameworks (Spring, Google Guice). Graduate degree (Master's or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, or Computer Science. Demonstrated experience with electronic trading infrastructure, including pricing engines, execution logic, and trade lifecycle components. Advanced statistical modelling skills and experience working with large-scale financial More ❯

model validation teams. Our requirements To be successful in this role, the candidate should meet the following requirements: · A strong academic background, with at minimum a Masters in mathematics, physics or quantitative finance. · Proven experience in a quantitative finance environment - counterparty risk. · Good knowledge of derivatives, their risk drivers and pricing models. · Track record of quantitative models implementation, using C# More ❯

Looking For Were looking for someone with a passion for technology and finance. The ideal candidate will have: A 2:1 or higher degree in Computer Science, Mathematics, or Physics A legitimate interest in cryptocurrency, blockchain, and the future of digital finance Strong analytical and problem-solving abilities in addition to excellent numerical and written communication skills Must have graduated More ❯

placement completed during studies. Initially being offered on a 12 month fixed term contract however, opportunities to extend to 24 months may be possible. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics etc are suitable - with a strong numerical and problem solving content. You should have experience delivering business insights and stakeholder engagement. You will be expected to provide analytical More ❯

ownership of architectural decisions and implementation of our market making platforms, both strategically and day to day. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. Self-starter with strong self-management skills, ability More ❯

activities, model limitations and uncertainties to the key stakeholders and management QUALIFICATIONS MRM considers candidates of all degree types, with preference for those in quantitative fields such as math, physics, engineering, computer science, or financial engineering. For certain positions, advanced degrees (eg, PhD, MFE) may be required. Excellent analytical, quantitative, interpersonal, and organizational skills. Team oriented. Strong programming skills. Additional More ❯

portfolio and market risks and solutions to manage and optimise risks within the firm's risk framework. WORK EXPERIENCE/BACKGROUND: Quantitative degree from a Top Tier institution (Maths, Physics, Engineering, Computer Science, Finance or Economics) Between 4 and 7 years of experience in a Quantitative-intensive role: Risk Management, Quant, Trading, Structuring Experience in data analysis Experience in coding More ❯

where appropriate. Provide relevant quantitative analyses to assist the commercial decision-making process. Required Qualifications: Master's degree or above in a quantitative discipline such as Quantitative Finance, Engineering, Physics, Mathematics, Statistics or equivalent. A minimum of 5 years' experience in developing option pricing models as a Quantitative Analyst in a trading environment is required. Good understanding of optimization principles More ❯

Working knowledge of statistics and ability to maintain in-depth technical discussion with customers who are quants A quantitative or technical background (e.g., in finance, economics, engineering, mathematics or physics) is strongly preferred We'd love to see: MS or PhD in a quantitative field Multi-asset experience Programming experience, preferably with Python Knowledge of Machine Learning Algorithms Bloomberg is More ❯

trying to solve to repeat issues, etc. Act in a team lead capacity as needed Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred Experience: Hands-on experience developing OTC technology with an understanding of OTC/Derivatives instruments (pricing, construction and analytics More ❯

goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact More ❯

goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact More ❯

attitude, with an eagerness to dive headfirst into problems and pick things up quickly. Nice to have: A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. We are an in-person company that values collaboration and team culture. Everyone works in the office Tuesday through Thursday, with flexibility to work from home More ❯