226 to 250 of 2,603 Machine Learning Jobs in England

into existing structures. You must be able to work well in a multi-disciplinary team and have strong communication skills. You should be familiar with state-of-the-art ML technology and software development methodologies and be able to work in a fast-paced, dynamic environment. You should have a passion for technology, healthcare, and improving the lives of others. … This position is offered on a permanentbasis. What you'll do: Research and develop new AI technologies capable of positively impacting performance and efficiency Improving ML processes, such as experiment tracking, data versioning, model versioning Analytical techniques for extracting insight from a variety of data sources Training infrastructure planning and maintenance Monitoring of models in production Building, maintaining, and monitoring … data pipelines Supporting evaluation/comparison of ML models requirement Qualification: Graduated from a computer science, software engineering, or related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding of machine More ❯

their successful delivery. We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities … Bootcamp. Use existing course material and Coding Black Females systems to support lesson objectives and prepare for sessions. We typically use tools such as Google Docs, Zoom, and a Learning Management System (LMS). Review the curriculum ahead of each session to familiarise yourself with the content and prepare to meet learners' needs. Provide regular updates to the Lead … Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics in Data Science and AI Person Specification: Experience supporting data science training or mentoring professionals in a data-focused capacity Strong ability to develop learners from intermediate to more More ❯

their successful delivery. We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities … Bootcamp. Use existing course material and Coding Black Females systems to support lesson objectives and prepare for sessions. We typically use tools such as Google Docs, Zoom, and a Learning Management System (LMS). Review the curriculum ahead of each session to familiarise yourself with the content and prepare to meet learners' needs. Provide regular updates to the Lead … Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics in Data Science and AI Person Specification: Experience supporting data science training or mentoring professionals in a data-focused capacity Strong ability to develop learners from intermediate to more More ❯

their successful delivery. We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities … Bootcamp. Use existing course material and Coding Black Females systems to support lesson objectives and prepare for sessions. We typically use tools such as Google Docs, Zoom, and a Learning Management System (LMS). Review the curriculum ahead of each session to familiarise yourself with the content and prepare to meet learners' needs. Provide regular updates to the Lead … Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics in Data Science and AI Person Specification: Experience supporting data science training or mentoring professionals in a data-focused capacity Strong ability to develop learners from intermediate to more More ❯

Here's what you'll be doing: Are you ready to shape the future of InsurTech with cutting-edge machine learning and AI? At Simply Business, we're not just using data; we're continuously evolving our platform with technologies like AWS … Snowflake, and Kafka to drive real value and inform company strategy. As a leading player in the market, our mission is to remain at the forefront of data engineering, ML, and AI thinking, and we need a Senior ML Engineer who shares that ambition. We're looking for someone who is: A polyglot programmer, with expertise in Python and a … mentoring and guiding Junior and Mid-Level Engineers, sharing your expertise and fostering growth. A reliable "go-to" person for tackling and resolving complex technical challenges. As our Senior ML Engineer, you'll: be hands-on in developing and continuously evolving our class-leading data and ML platform infrastructure, balancing maintenance with exciting greenfield projects. develop and maintain our real More ❯

Technology Interest AI or Artificial Intelligence Job Id New Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving … skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured … series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team More ❯

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing …/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly … various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS - Experience implementing algorithms using both More ❯

be doing: The Quantitative Researcheris a key role within the algorithmic technical space at Dare. Working closely with a talented algorithmic andtechnical team to build a platform that delivers ML capabilities to ourLiquidity trading teams. These teams are responsible for delivering products for internal customers. Setting and delivering a consistent, scalable approach to machine learning across the organisation … delivers models that provide our traders with a competitive edge. Using Dare's proprietary trading data and models to drive trading PNL. Developing trading indicators and strategies powered by machine learning. Partnering with quantitative research and algorithmic trading technology teams. Collaborating with the CEO and other senior stakeholders to combine domain knowledge with engineering expertise. What you'll bring … advantageous. A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical fundamentals on which the ML methods are based. We want someone who understands the methods rather than just calling functions from existing ML packages. Experience with production data processing. That includes data manipulation, data cleansing More ❯

JOB SUMMARY Iambic Therapeutics is seeking a machine learning scientist to extend Enchant-our multimodal transformer-by incorporating genomics, transcriptomics, proteomics, metabolomics, and other omics signals. Your work will focus on target selection and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. … biological mechanisms and validate model outputs. Write high quality, tested code and deploy models across multi GPU or HPC environments; monitor performance and iterate. Stay current with advances in machine learning and computational biology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD … or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep learning to omics data at scale. Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. More ❯

Job Description: We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with … If the process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies. Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift … concept drift, model performance degradation signals and ensure model retrain. Implement CI/CD pipelines for ML models and automate the deployment. Maintain relevant documentation. Requirements: Bachelor's degree in a relevant field. Minimum of 5 years of experience as a business analyst, with a focus on capturing and documenting business requirements and business processes. Strong understanding of banking and More ❯

retention, personalisation, and campaign effectiveness. You'll be part of a collaborative, technically skilled team that combines deep analytical thinking with commercial understanding to solve complex marketing challenges using machine learning and statistical modelling. Key Responsibilities Advanced Analytics & Modelling Design and implement machine learning algorithms and statistical models tailored to the marketing domain Apply techniques such … experimentation strategy Project Delivery & Agile Working Lead and manage data science projects from scoping to delivery Participate in agile ceremonies and demonstrate flexibility in a fast-paced environment Continuous Learning & Innovation Stay up to date with the latest trends in marketing science, machine learning, and data engineering Share knowledge and champion experimentation within the team What We … background in marketing analytics or a clear passion to grow in this domain Proficiency in Python and SQL (a technical test is part of the process) Solid understanding of machine learning, statistical modelling, and experimentation Strong communication skills to engage with business teams and explain complex concepts clearly Experience working with cloud platforms and big data tools, preferably More ❯

We are hiring for a Machine Learning Researcher to join its growing R&D function. This is a unique opportunity to apply cutting-edge machine learning techniques to solve meaningful challenges in the molecular analysis and sequencing space. You’ll collaborate with cross-functional teams to help … shape next-generation tools and approaches for analysing complex biological data. This Role Will Offer You: The chance to work at the forefront of scientific research and AI/ML innovation A highly collaborative, interdisciplinary team environment The opportunity to contribute to impactful projects in DNA/RNA/protein analysis A competitive salary and comprehensive benefits including performance bonuses … private healthcare, and a generous pension scheme A stunning campus location with landscaped surroundings and a strong mission-led culture Your Responsibilities: Develop and apply machine learning models to advance molecular sensing and biomolecule modelling Collaborate closely with scientists and engineers to drive innovation across sequencing technologies Create and optimise tools tailored to nanopore and bioinformatics applications Present More ❯

Graduate Technical Recruiter - Trading Technology & Machine Learning About Algo Capital: Algo Capital is a leading global algorithmic talent firm specializing in Quantitative Trading and Trading Technology recruitment across the US, EMEA, and APAC. We partner with the most exclusive clients in the trading industry, who are pushing the boundaries of AI, machine learning, and low-latency … of the art solutions and platforms. We're seeking a driven Graduate Technical Recruiter to join our team, focusing on C++, Python, Low Latency systems, and advanced AI/ML roles. Who You Are: Recent STEM or related field graduate with a strong interest in technical recruitment for Finance, Trading Technology, or FinTech Entrepreneurial mindset Eager to learn about recruiting … Comprehensive training (1:1 mentorship) in Trading Technology and AI recruitment Collaborative, high performing team culture Networking with top-tier professionals and technologists in Trading Technology and AI/ML Clear structured career progression path in Quantitative technical recruitment This is an excellent opportunity to build a lasting career in quantitative technology, if you would like further information please apply More ❯

Graduate Technical Recruiter - Trading Technology & Machine Learning About Algo Capital: Algo Capital is a leading global algorithmic talent firm specializing in Quantitative Trading and Trading Technology recruitment across the US, EMEA, and APAC. We partner with the most exclusive clients in the trading industry, who are pushing the boundaries of AI, machine learning, and low-latency … of the art solutions and platforms. We're seeking a driven Graduate Technical Recruiter to join our team, focusing on C++, Python, Low Latency systems, and advanced AI/ML roles. Who You Are: Recent STEM or related field graduate with a strong interest in technical recruitment for Finance, Trading Technology, or FinTech Entrepreneurial mindset Eager to learn about recruiting … Comprehensive training (1:1 mentorship) in Trading Technology and AI recruitment Collaborative, high performing team culture Networking with top-tier professionals and technologists in Trading Technology and AI/ML Clear structured career progression path in Quantitative technical recruitment This is an excellent opportunity to build a lasting career in quantitative technology, if you would like further information please apply More ❯

Airways as a Data Scientist in our cutting-edge Operations Decision Support (ODS) product team. This full-stack role sits at the heart of our transformation, combining data science, machine learning, and optimisation to build industrialised decision-support software. If you're passionate about solving real-world problems through intelligent, data-driven solutions and thrive in a collaborative … agile environment-this is your opportunity to make a real impact. What you'll do: Design and implement machine learning and optimisation models that power decision-support tools across British Airways operations. Collaborate with software engineering teams, product & change teams to turn their models into industrialized products that are used by the airline every day to make better … degree in Data Science, Machine Learning, Operational Research or a related field, or 2+ years of relevant industry experience (required). 0-2 years working on production ML or optimisation software products at scale (required). Experience developing industrialised software products or working in relevant industries such as transportation, airlines, or logistics (preferred). Ready to bring the More ❯

we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you'llbe involved in building innovative … models and scalable infrastructure that tackle complex ecological and geospatial challenges.You'llplay a key part in our ML and AI roadmap, directly contributing to helping organisations understand and manage their impact on nature. Key Responsibilities Feature development: Lead on the design, development and deployment of end-to-end ML and AI features, from research and prototyping to productionisation and monitoring. … Model implementation: Implement advanced ML algorithms and models to solve complex ecological and geospatial problems. System design: Contribute to the architecture, building and maintenance of scalable, reliable, and efficient ML and AI pipelines and infrastructure. Product collaboration: Collaborate with product managers and stakeholders to translate business requirements into technical solutions, supporting the overall ML and AI strategy and identifying opportunities More ❯

excited as much about creating tangible business impact and improving the delivery experience of millions of recipients and delivery drivers as they enjoy evaluating and crafting just the right ML model for their use case. Data at HIVED We believe in staying ahead and creating a competitive edge through intelligent use of data in an industry that has been stuck … data solutions Develop powerful machine learning models, analyses and experiments Collaborate with fellow squad members to deploy your solutions and monitor their performance and impact Evolve our ML and data platform, select the right tooling and set standards for a growing team Your profile 4+ years of experience in a similar data science or analytics role Degree with … or equivalent) Proven track record of delivering high-impact machine learning models and developing algorithms that solve real-world challenges Experience programming in Python, SQL and using ML platforms and frameworks such as Sagemaker, MLflow, Seldon Core or similar Prior experience or interest in working with geospatial data Technologies we use ️ Programming languages: SQL, Python, LookML, (+ Go More ❯

Postdoc in Bayesian machine learning, AstraZeneca, Cambridge, UK Mar 29, 2018 PREDICTING DRUG TOXICITY WITH BAYESIAN MACHINE LEARNING MODELS We're currently looking for talented scientists to join our innovative academic-style Postdoc. From our centre in Cambridge, UK you'll be in a global pharmaceutical environment, contributing to live projects right from the start. You … advisor, who'll provide you with the guidance and knowledge you need to develop your career. You will be part of the Quantitative Biology group and develop comprehensive Bayesian machine learning models for predicting drug toxicity in liver, heart, and other organs. This includes predicting the mechanism as well as the probability of toxicity by incorporating scientific knowledge More ❯

Join our world-class team today and fulfill your career potential! The Opportunity As an AI Pre-Sales Scientist, you will communicate FICO's AI/Gen AI and machine learning/analytic methods and innovations to clients, supporting sales efforts for FICO's solutions that manage risk, combat financial crime, build profitable customer relationships, and meet regulatory … Do Enhance engagement with internal and external stakeholders on AI/Gen AI topics. Drive customer understanding of FICO's AI/Gen AI products, aligning customer needs with machine learning and analytic methods. Provide feedback for product development based on customer interactions. Participate in research to identify emerging AI/Gen AI trends and technologies to develop … What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests More ❯

shaping how they apply data, analytics, and innovation across the product development lifecycle A global network of multidisciplinary experts in AI, clinical development, regulatory strategy, and digital health Continuous learning and growth through Accenture's world-class training programmes, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages bold thinking, values diverse … of thought, and celebrating shared successes across our Data & AI Life Sciences community Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languageseg.Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologieseg.SQL, ETL, No-SQL, DW, and Big Data technologieseg.pySpark, Hive … etc. Experienced working with structured and also unstructured dataeg.Text, PDFs, jpgs, call recordings, video,etc. Knowledge of machine learning modelling techniquesand how to fine-tunethosemodelseg.XGBoost, Deep Neural Networks, Transformers,ResNets,VAEs, GANs,Markov chains, etc. Experience using specialized machine learning librarieseg.Fastai,Keras,Tensorflow,pytorch, sci-kit learn,huggingface,etc. Must demonstrate the capacity of reading, understanding More ❯

Requirements Essential Qualifications: MSc in Computational Science or Machine Learning with a focus on Computational Biology (PhD preferred). Proven experience in biological data curation, organization, and management. Deep understanding of computational biology tools, methodologies, and best practices. Solid foundation in machine learning techniques and tools, with an emphasis on real-world applications. Proficient in Python … AI and Biology. Preferred Qualifications: Industry experience in biotechnology or pharmaceuticals, especially in internal or client-facing roles. Contributions to open-source projects in computational biology. Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization. Track record of scientific publications in machine learning or computational biology. Experience in therapeutic or diagnostic More ❯

Requirements Essential Qualifications: MSc in Computational Science or Machine Learning with a focus on Computational Biology (PhD preferred). Proven experience in biological data curation, organization, and management. Deep understanding of computational biology tools, methodologies, and best practices. Solid foundation in machine learning techniques and tools, with an emphasis on real-world applications. Proficient in Python … AI and Biology. Preferred Qualifications: Industry experience in biotechnology or pharmaceuticals, especially in internal or client-facing roles. Contributions to open-source projects in computational biology. Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization. Track record of scientific publications in machine learning or computational biology. Experience in therapeutic or diagnostic More ❯

Register Your Interest - Machine Learning/Computational Biology Scientist Student Placement The qualified individual will have experience in a STEM (Science, technology, engineering, and mathematics) discipline and an interest in applying their expertise in the field of biological research. They will be responsible for helping us develop discovery pipeline by applying/augmenting data science and systems biology … employees spread across 140+ countries, we offer state-of-the-art laboratories and inspiring offices designed to foster growth and development in our team members. Responsibilities: Use machine learning toolkits to augment target and biomarker discovery efforts Use computer vision and deep learning methods to integrate multi-omics data in order to link them to disease phenotypes … and will be looking to complete a 12-month student internship as part of your undergraduate degree. Strong interest in one or more: applying data science, computational biology or machine learning to solving biological questions Demonstrable experience in applying statistical methods to analyse data and interpreting results Experience in coding (python and/or R) About MSD At More ❯

improve customer experience and drive business growth. The role focuses on identifying and solving ambiguous, high-value problems using state-of-the-art methodologies in machine learning (ML) as well as developing self-service data platforms for internal analytics. Key job responsibilities • Strategic Leadership: Define and execute the scientific vision for Gift cards, aligning with the broader business … develop, and mentor a diverse team of scientists and engineers, fostering a culture of innovation, learning and excellence. • Science and Innovation: Design and implement state-of-the-art ML models, analytics systems, and scalable architectures to support e-commerce. Explore novel scientific approaches and contribute to advancements in areas such as sales automation, product recommendation, pricing optimization, and customer … day-to-day technical operations, ensuring quality and efficiency across data pipelines, tools, and models. BASIC QUALIFICATIONS - Masters in Computer Science or a related field. - 10+ years experience in machine learning, AI, or a related field. - 7+ years of leading and managing science teams that deliver large impact. - Proven track record of leading and managing science teams that More ❯

Responsibilities (Text Only) - Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data. - Build and optimize distributed data processing and model building pipelines. - Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions. - Collaborate with cross-functional teams, including scientists, researchers, and … degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field. - Strong familiarity with Linux and the open-source ecosystem. - Proficient experience working with machine learning and large datasets. - In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm). - Experience building complex systems on the cloud. More ❯