44 Machine Learning jobs

About Insilico Insilico Medicine is an end-to-end, artificial intelligence (AI) -driven pharma- biotechnology company with a mission to accelerate drug discovery and development by leveraging our rapidly evolving, proprietary platform across biology, chemistry, and clinical development. For more info, visit our website https://insilico.com About Role We're searching for an enthusiastic ML researcher with strong skills in LLM, Graph Neural Networks, and Diffusion Models to join our Generative Biologics project. This project is all about using AI to design biopolymer substances like proteins, peptides, and antibodies for medical purposes. Our team includes experts in medicinal chemistry and structural biology, and we're excited to add ML expertise to the mix. If you're not already an expert in biology or drug development, don't worry. We'll provide you with the training and support you need. We're committed to helping you learn and grow in this field. By joining us,...

Are you a skilled crop-climate modeller with an interest in working in a multi-disciplinary team? Are you ready to help develop fibre-rich white bread for UK consumers? Do you have excellent mathematical and Machine Learning experience? We seek a motivated and versatile post-doctoral researcher to work on a UKRI-funded project to model crop responses to climate variability and change using crop-climate models. The project, “Increasing UK Dietary Fibre – The Case for the Great White British Loaf”, will work towards transformation of the UK wheat supply chain to sustainably supply fibre-rich white bread to UK consumers. The project provides an excellent opportunity for you to gain experience of a diverse range of agricultural and food economics research challenges and techniques. White bread accounts for 76% of bread sold in the UK with around 12 million loaves being sold each day. Its high popularity, the need for increased fibre in the diet, and slow...

The Department of Earth Science and Engineering invites applications for two permanent academic positions in the areas of Artificial Intelligence, Machine Learning and Data Science. We are looking for colleagues to join our friendly and dynamic department and complement and enrich our existing research and teaching activities. Your interest may lie in any aspect of artificial intelligence, machine learning or data science and/or how these techniques are applied to pure, applied or engineering problems related to Earth and Planetary Processes, Geohazards, Climate and the Environment, Sustainable Natural Resources and Energy. We are keen to offer opportunities, where possible, to people from groups who are currently underrepresented in Earth Science and Engineering in the UK. The Department of Earth Science and Engineering at Imperial College London is situated at the heart of South Kensington’s museum district in London and employs ~65 academic and teaching staff...

This role presents an opportunity to contribute to innovative Machine Learning compilation technology. You will help to build the software that enables development of deep learning applications that form the basis of many ground-breaking technologies like self-driving cars, generative AI engines and ML-powered wearables. Job Overview: Arm Machine Learning (ML) Compilers team is looking for a software engineer who would build a range of innovative compiler solutions for a variety of markets. You will apply your experience and insight within this domain to craft and optimise compilers for machine learning networks that target range of Arm’s CPUs, GPUs and NPUs. If you are interested in this opportunity, make sure to apply soon! We look forward to receiving your application and welcoming you to Arm. You could be joining our highly motivated compiler team and have a marked impact on both strategy and implementation! Responsibilities: Build, extend...

Pearson Carter are currently working with a leading organization within the energy sector, who are looking to expand their team. They are looking for a DevOps Team Lead to join a medium sized team and lead the team on the technical aspect, working with AWS and Java. This is a fully hands-on role, where you will be working alongside developers to build out their pre-existing functional systems. Other responsibilities include: Deploying fixes and updates, implementing integrations and resolving any technical issues. Experience required: DevOps experience AWS and Java React (beneficial) Salary: This role offers an excellent salary package: £50,000 – £60,000 + Quarterly Bonus + Hybrid Working Setup + 25 Days Holiday. Location: This role is Hybrid, where working from home 2/3 days a week is possible. They have an office based in Stockton-On-Tees. How to Apply: Please apply asap with your CV to be considered for this position. You can also get in...

Biomathematics & Statistics Scotland (BioSS) seeks a statistician with an interest in working on spatial statistics in applied and methodological research relating to the impacts of offshore renewable energy on seabirds and marine mammals. BioSS is legally part of The James Hutton Institute, a member of the SEFARI (Scottish Environment, Food and Agriculture Research Institutes) collective, and offers a stimulating working environment, with 50 staff and students at four locations, collaborating on applications in environmental science & ecology, plant & crop science, animal health & welfare, and human health & nutrition. The UK government is committed to reaching net zero emissions by 2050. In the power generation sector, progress in switching to renewable energy has accelerated in recent years, with renewables generating more electricity in the UK than fossil fuels since 2020. Legislation protecting the marine environment requires that offshore...

Sector:  AI, NLP & Computer Vision, Data Location:  London Job Ref:  BBBH105057_1699983087 Job Type:  Permanent Salary:  £60000.00 - £80000.00 per annum per year Expiry Date:  24 December 2023 Contact:  Nathan Carolan Contact Email:  nathan.carolan@xcede.com Job Description NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients....

About Bark Bark is revolutionising the way people find professionals in over 1,000 unique categories. As the UK's largest and fastest-growing services marketplace, we're on a mission to make finding the right professional quick and easy. With a presence in eleven countries and plans for further expansion, joining us at this genuinely exciting time will be a journey like no other. Our cutting-edge technology ensures that you can always find the best professional for any job. With a talented team of over 220 dedicated individuals, we're committed to providing exceptional service and ensuring that our customers are satisfied every step of the way. This is an exciting time to join our scaling business, we recently ranked 64th in the Sunday Times 100 fastest growing private tech companies in 2023. As a profitable scale-up, Bark is in a unique position to offer the best of both worlds; the excitement and agility of a start up combined with the financial security and backing...

Do you have experience of teaching Statistics at undergraduate or postgraduate level with an established background in statistical theory and practice? Are you passionate about delivering an exceptional student experience in a research-intensive Russell Group University? The School of Mathematics are looking for a talented Teaching Fellow to contribute to the delivery of teaching in Statistics. As a Teaching Fellow, you will deliver innovative teaching at both undergraduate and postgraduate levels. As well as teaching and assessment, you will also contribute to the development of new teaching material in line with the University’s strategy to offer research-led student education. For the right candidate, there may also be an opportunity to be involved in development and delivery of online distance-learning postgraduate education. With a PhD in Statistics or a closely related discipline, you will have a demonstrable ability to teach courses such as linear modelling, survival...

Machine Learning Scientist – Part-time research contract At Archangel Imaging, you will be working alongside a fun, experienced and forward-thinking team to deliver transformative AI solutions that help organisations like Network Rail, Nuclear Decommissioning Authority and Ministry of Defence better protect our service personnel, critical infrastructure and first responders over large, remote areas. But that’s not all! We work extensively with industry drones and robotics partners to create turn-key solutions, so you will have exposure to the latest cutting-edge technologies. You will be joining a company that is enjoying great success. We have recently won the GENIUS NY program in New York (the largest accelerator program for unmanned systems in the world). In addition, we have won several exciting development projects with key defence customers. Joining us as a   Machine Learning Scientist , you will have an opportunity to push the boundaries of autonomous drone navigation...

ML Engineer / Outside IR35/ Fully Remote / 12 Months URGENT ROLE - I'm working with a repeat client who are looking to bring on 2 Machine Learning Engineers ASAP to join a a greenfield project. This will be a 2 stage interview process happening early next week. Please note that you must have previous experience in similar roles with supporting references to be considered for interviews. Role Requirements: Software Engineering related degree or combination of experience, education and training. Strong programming experience with data science languages like Java, python, Spark, Scala, etc. Knowledge of AI/ML techniques, ie, neural networks, tree ensembles, regressions, Feature and production engineering Experience with distributed platforms (Big data) Experience with various cloud technologies Bonus: PHD / Masters If you are interested in this role, please apply or email your latest CV to simon.odonnell@opusrs.com ASAP! ML...

Overview: Imagine having the opportunity to contribute to the build of high-impact digital products with a world-class tech team, all while working towards a greater purpose of making the world a better and safer place. Element, a well-established organization that touches billions of lives, is searching for a Data Scientist in London (hybrid) to help build a startup within their organization. As our Data Scientist you will design and train performant models from scratch and create a powerful analytics engine fueled by cutting-edge technology and generative AI. You will be responsible for building, validating, and deploying machine learning models that drive our product's analytics engine. Operating in an Agile setting, you will be part of a cross functional team, collaborating closely with other Data Scientists, Data Engineers, Software Engineers, Product Owners and UX /UI Designers, to innovate and drive our product to new heights. If you are passionate about building...

Introduction: Symphony Sensa is breaking new ground in enterprise AI and is looking for Data Scientists to join our AI teams. We have the most advanced machine learning solution to solve hard problems in Anti Money Laundering, Financial Fraud, and Trade Surveillance. At traditional Banks, Exchanges, and for DeFi. You will learn and apply cutting-edge machine-learning techniques developed by our research team. Additionally, you will be contributing to the further advancement of Sensa AI technology through rigorous research and development. As part of a growing team, you will deploy our technology to help our customers solve their biggest and most impactful problems whether it be discovering the Unknown Risks evading their detection systems or reducing the False Positive rate of existing surveillance systems. We combine the rapid agility of a start-up with the financial backing of the world’s largest private AI fund (SymphonyAI). At Symphony Sensa your contribution...

Abbott Internship Programmes allow you to build your own path using the growth opportunities and tools offered, that is why Abbott are officially the #1 Global Internships in the HappyTrainees ChooseMyCompany Index. As a global company, where you start doesn’t have to be where you stay. Apply to our Internship programs today; pursue the career that you want and do work that matters. Abbott is a global health care company, focused on making patients’ lives better for over 135 years. With sales in excess of $40 billion, Abbott is present in 160+ countries worldwide and employs 113,000+ employees. Abbott is made up of 4 business areas: Medical Devices, Nutrition, Diagnostics and Established Pharmaceuticals. Abbott Diabetes Care (ADC) is part of the Medical Devices division. ADC designs, develops and manufactures leading-edge blood glucose monitoring technology for use in both home and hospital settings, including our revolutionary Freestyle Libre Glucose Monitoring System. In...

We’re Kingfisher, A team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in. At Kingfisher our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. We are open to flexible and agile working, both of hours and location. Therefore, we offer colleagues a blend of working from home and...

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE(ML PLATFORM AND OPERATIONS) -ENGINEER: Bullisher is a data centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. Predicts trends in the aerospace and technology government defense entities, predicts trends in political shifts and the ability to influence actual effect changes in government policies through innovation. JOB DESCRIPTION: As a newly created role- The oversight team requires a PLATFORM DESIGNED TO HANDLE COMPLEX WORKLOADS. Machine learning development system-A specialize infrastructure needed to deliver complex AI/ML workloads focused on training deep learning models to improve...

Ronald James Group 2024-01-23 This is an exciting opportunity for an Data Engineer to join a company who are constanty investing in new products & using technology to increase their market share! They are looking for someone to join their team who is enthusiastic about new ideas which they can’t wait to share with their team & bring to life As a Data Engineer, you’ll focus on building and maintaining robust data pipelines within the AWS ecosystem, with a primary focus on the Delta Lakehouse Platform on Databricks. Responsibilities: Data Ingestion:   Build and optimize data ingestion pipelines using AWS services such as Lambda, Kinesis, and Glue. Data Transformation:   Develop, maintain, and optimize transformation pipelines within our Delta Lake on Databricks. Data Modelling:   Design and implement efficient and reliable data models to store and retrieve data. Collaboration:   Work closely with data scientists, analysts, and stakeholders to understand...