251 to 275 of 547 Remote/Hybrid Machine Learning Jobs

Grafana, Kibana) Strong problem-solving skills and ability to work independently Excellent communication and stakeholder engagement skills Exposure to Databricks Apps or AI/ML workloads (nice to have) If you have previously led migrations to Unity Catalogue and you're interested in this role, click 'apply now' to forward ...

senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation’s modern data architecture roadmap, designing secure, scalable, and high-performing ...

maintain legacy. Reports to the Operations Director with fractional CTO advisory support. Clear progression as the platform matures into data migration, AI/ML automation and client-facing services. Remote-first, UK-based. Occasional travel to London HQ and acquisition sites. Judged on delivery. ...

with large imaging and time series datasets Exposure to healthcare, clinical, or regulated data environments Familiarity with data anonymization or pseudonymization techniques Experience supporting ML/AI data preparation workflows DevOps experience (CI/CD pipelines, containerization) Deliverables and Expectations Scalable and reliable data ingestion and management capabilities Well documented ...

services, and workflows (e.g., DI, editing, visual/audio effects, encoding, on-set support) Understand the security considerations of systems that leverage AI/ML, including generative AI Experience working with or assessing media specific systems and content protection solutions (DRM, watermarking, encryption, streaming protocols, etc.) JOB RELATED EDUCATION Bachelor ...

looking for a hands-on Data Engineer to join their highly technical team. This is an exceptional opportunity to work on cutting-edge machine learning and real-time optimisation products used by clients processing millions of customer interactions per day. You’ll join a small, elite engineering group ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data … Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...

development such as GitHub Actions, or Powershell Experience with application development using Microsoft or cloud technologies (such as SQL, Azure, C#, Python) Experience with Machine Learning, MLOps Experience with investment management systems and processes Experience with Agile methodologies in a cloud, application, database, data warehousing and BI space … backgroundWhy Fisher Investments: -We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible ...

development such as GitHub Actions, or Powershell Experience with application development using Microsoft or cloud technologies (such as SQL, Azure, C#, Python) Experience with Machine Learning, MLOps Experience with investment management systems and processes Experience with Agile methodologies in a cloud, application, database, data warehousing and BI space … individual performanceWhy Fisher Investments: -We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible ...

development such as GitHub Actions, or Powershell Experience with application development using Microsoft or cloud technologies (such as SQL, Azure, C#, Python) Experience with Machine Learning, MLOps Experience with investment management systems and processes Experience with Agile methodologies in a cloud, application, database, data warehousing and BI space … individual performanceWhy Fisher Investments: -We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible ...

engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply technologies … retail to improve pricing and margins Supporting large-scale programmes across defence and public infrastructure What you bring Core requirements Strong data science/machine learning background Experience delivering AI/GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment ...

impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with … engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab ...

Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect … wants to join a market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure ...

hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

leadership, including acting as a key partner to the Director of AI Y our Skills and Experience * Strong commercial experience in AI engineering or machine learning, ideally evolving from a data science background * Proven experience building and deploying LLM based applications in production environments * Experience working with cloud ...

into business workflows API integrations and backend services Greenfield client projects and internal Conquer AI product work Core skills we’re looking for: Strong machine learning experience Strong traditional software engineering background Python Node.js TypeScript LLMs RAG Vector databases Agentic AI systems Workflow automation API integrations Backend engineering ...

with backlog ownership Ability to translate complex technical concepts into business value Strong stakeholder management and communication skills Desirable experience Exposure to AI/Machine Learning within data platforms Experience in regulated or data-sensitive environments Knowledge of data governance and risk frameworks Experience supporting large-scale platform ...

environment. Nice to Have Background in travel, transport, fast-moving digital marketplaces, or consumer-facing digital products. Experience with causal inference techniques. Exposure to Machine Learning model development or familiarity with AI development tools (e.g., Claude, Cursor, Windsurf). ...

Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration ...

measurable business impact from data Strong programming skills (Python/R) SQL and experience working with large, complex datasets Solid understanding of: Statistical modelling Machine learning techniques Experimental design and testing Experience with cloud/data platforms or scalable pipelines Strong problem-solving and analytical thinking Ability ...

background • Ability to build trust and confidence with senior stakeholders • Experience delivering AI solutions into production • Strong Python engineering fundamentals • Azure AI Foundry, Azure ML, Databricks, SageMaker, Bedrock, or similar • MLOps, CI/CD, observability, and production AI delivery • Experience leading teams, workshops, and technical discussions You’ll be: • Leading ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

SaaS/PaaS, Prompt Engineering, Agentic Workflows, Platform Systems, Remote (UK) *PLEASE READ BEFORE APPLYING* Proven experience in designing, deploying, and scaling AI/ML systems is essential. You must also be willing to collaborate on-site as needed and engage closely with cross-functional teams to deliver high-impact ...