276 to 300 of 628 Machine Learning Jobs in Berkshire

A leading multi-strategy hedge fund is seeking a Senior AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. … This role offers the chance to work on impactful projects in a high-performance, data-driven environment. Responsibilities: Develop, deploy, and optimize AI/ML models that enhance trading strategies and risk management Build and maintain robust AI pipelines and model life-cycle management systems Collaborate closely with quantitative researchers … opportunities Ensure model scalability, performance, and reliability in live production environments Qualifications: 6+ years of software engineering experience, with recent experience developing AI/ML tools and applications Proficient in Python and ML frameworks (TensorFlow, PyTorch) Experience with cloud and on-premises environments; familiarity with high-performance computing is a More ❯

roles to involve the talent and experience that we require. What are we looking for? Strong analytical mindset with experience in advanced analytics and machine learning techniques Proficient in statistical software and hands-on model development (e.g., scorecards, predictive models) Able to translate complex analytical insights into clear … deployment. The job requires bringing technical expertise and understanding in analytics, data science and insight to bear in the market. This will demand rapid learning about the data we have, the business needs/challenges and applying expertise in analytics, data science, leadership, and delivery to turn this into … by The Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

roles to involve the talent and experience that we require. What are we looking for? Strong analytical mindset with experience in advanced analytics and machine learning techniques Proficient in statistical software and hands-on model development (e.g., scorecards, predictive models) Able to translate complex analytical insights into clear … deployment. The job requires bringing technical expertise and understanding in analytics, data science and insight to bear in the market. This will demand rapid learning about the data we have, the business needs/challenges and applying expertise in analytics, data science, leadership, and delivery to turn this into … by The Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

roles to involve the talent and experience that we require. What are we looking for? Strong analytical mindset with experience in advanced analytics and machine learning techniques Proficient in statistical software and hands-on model development (e.g., scorecards, predictive models) Able to translate complex analytical insights into clear … deployment. The job requires bringing technical expertise and understanding in analytics, data science and insight to bear in the market. This will demand rapid learning about the data we have, the business needs/challenges and applying expertise in analytics, data science, leadership, and delivery to turn this into … by The Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

Job Description Expert knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision making A proven track record of leading data science projects and teams, as well as a … strong background in AI research and applied machine learning. Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design. Strong stakeholder management skills and the ability to More ❯

meaningful, complex challenges with creativity and precision. Key Responsibilities: Lead the development of scalable analytics tools across secure cloud and on-premise environments. Apply machine learning and AI creatively to solve problems in the intelligence and public sector space. Work with large-scale structured, unstructured, and geospatial datasets. … Key Requirements: 6–8 years of hands-on experience in Data Science, ideally in applied or product-driven environments. Strong background in maths, statistics, ML, and working with big data. Excellent Python skills, plus experience with SQL and Tableau. Proven ability to build analytical platforms, not just run analysis. Eligible More ❯

Required Qualifications In computer science, engineering, analytics, mathematics, statistics, IT, or equivalent. Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java preferred but not necessary. Preferred Qualifications Experience with AWS technologies like Redshift and extracting value from large More ❯

with business use cases Contribute to and lead code reviews, automated testing, and DevOps CI/CD processes Advise on and implement AI/machine learning pipelines in Python where applicable Work with stakeholders across Technology, Operations, and Investment teams to gather requirements and deliver solutions Provide mentoring … paced, regulated environments Excellent communication and stakeholder management skills Nice to have: Experience with financial modelling and asset management tools Knowledge of AI/ML integrations in Python More ❯

build AI that actually feels personal ? We’re on a mission to redefine how businesses interact with their customers, using cutting-edge AI and machine learning to create deeply personalised, intelligent experiences . We’re looking for an AI Engineer to join us on this journey—someone who … behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms (AWS More ❯

services (eg, Azure Data Factory, Azure Synapse Analytics, Azure Databricks). - Build and maintain scalable, high-performance data architectures to support analytics, reporting, and machine learning workloads. - Write clean, efficient, and maintainable code in Python and C# for data processing, transformation, and integration tasks. - Implement data ingestion, ETL More ❯

For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in fintech, banking, lending, or payments preferred. Expertise in machine learning, statistics, and large-scale data processing. Hands-on technical ability (Python, SQL, cloud platforms like AWS or GCP). Excellent communication skills More ❯

to real-world academic and sustainability data sets. Demonstrates rigorous attention to detail, especially in prompt engineering and evaluation of semantic outputs. Experience with Machine Learning or Predictive Modelling would be desirable. Familiarity with DataBricks, higher education/research data, sustainability metrics, and qualitative-to-quantitative analysis would More ❯

data sets from diverse sources.. Identify trends, patterns, and anomalies within the data to uncover insights. Utilise advanced data analysis techniques (e.g., statistical modelling, machine learning) to extract meaningful information. Develop comprehensive reports, dashboards and visualisations to communicate findings to stakeholders. Provide detailed analysis including creation of financial More ❯

commercial initiatives. What We’re Looking For A strong academic background in a STEM field (Master’s preferred). Proven experience in data science, machine learning, or analytics in consulting, PE, or financial services. Advanced Python and SQL skills; exposure to tools like Snowflake, Databricks, Power BI/ More ❯

collaborate closely with analytics, engineering, and data science teams to drive insights and innovation. Key Responsibilities Build and maintain data models that support analytics, machine learning, and reporting needs. Design, implement, and optimize scalable ELT processes using modern data stack technologies. Ensure data accuracy and reliability across multiple More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to More ❯

to launch. This involves working across the entire stack — from front-end (written in React/TypeScript), back-end (written in Kotlin and Python), machine learning (agentic workflows, entity matching), to infrastructure (AWS, Docker). Working at a startup so early, it's common to kick off a More ❯

valuable insights that empower our clients.. Tech: Python, Databricks, Cloud (AWS), ETL, SQL 💡 The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud-native architectures Data mesh and data fabric patterns More ❯

Designing Generative AI Proof of Concept. Contriubute to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of More ❯

Site Reliability Engineering (SRE) practices Preferred Qualifications Experience building and supporting web-based applications Background in customer-facing technical roles Exposure to AI/ML technologies Testing protocols and automation expertise Role Expectations Ability to perform under pressure Strong customer communication skills Technical problem-solving capabilities Handling high-stakes technical More ❯

Proven experience as a Senior Software Engineer or in a similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficient in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact More ❯

tools, SDKs, or APIs. Strong communication skills — capable of bridging the gap between engineering, product, and enterprise stakeholders. Bonus: experience working with AI/ML tooling (e.g. Hugging Face, OpenAI, LLMs, vector databases, etc.) Bonus: background in consulting, technical pre-sales, or solutions architecture. 🌍 Why Join Us? Help define the More ❯

s and RAG, and more importantly know how to measure and evaluate LLM's. What it offers: The opportunity to have build and deploy ML Models utilising LLM's. Join a Start up at the most exciting time of growth, and the chance to focus on the product outcomes. Requirements … 5+ years experience in an ML focussed Engineering position. Solid programming skills and Cloud experience (Ideally Google Cloud or Azure) A keen interested in utilising LLM's. Ideally, professional experience with Knowledge Graphs More ❯

including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends. Collaborate with team members to implement AI and machine learning models against user problems. Engage in continuous learning and development on a personal basis and contribute to the core technical and More ❯