776 to 800 of 1,406 Permanent Machine Learning Jobs

with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial ...

code commenting or MS TFS Good understanding of fundamental computer programming concepts or Electronic Medical Record systems, with a basic understanding of statistical and Machine Learning concepts, dimensional models, and/or Data Warehouse systems Experience with Business Intelligence tools, such as Tableau, Cognos, Looker, Toad, Minitab, PowerBI ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Tech ecosystems, including SSAI, and ad decisioning systems. Experience working with player/client technologies across web, mobile, and connected devices. Exposure to machine learning applications in media workflows (e.g., content enrichment, personalization). Prior experience operating in a large-scale streaming platform environment. What Sets You Apart ...

candidate should cover some of the following topics, but are not limited to them: Software engineering with and for Artificial Intelligence, data-intensive, and machine-learning-based systems, including AI-assisted development, automation, debugging, and repair, as well as the engineering of trustworthy AI-enabled software Software testing ...

with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI-driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problemssuch as predictive maintenance or autonomous ISTARensuring they are fit for purpose ...

cloud-first data platform. This is a great opportunity to work on high-volume data systems, shaping architecture and enabling real-time analytics and ML use cases. What you’ll be doing: Build and optimise data pipelines & ETL processes Contribute to a cloud migration to AWS (S3, Redshift) Develop lakehouse ...

Knowledge of Docker, Kubernetes, and CI/CD pipelines. Experience with Redis, Celery, RabbitMQ, or Kafka. Familiarity with microservices architecture. Knowledge of AI/ML libraries such as Pandas, NumPy, TensorFlow, or PyTorch is a plus. Qualificat ...

unstructured data * Data ingest, transformation and persistence technologies * Agile delivery & CI/CD environments * Stakeholder engagement across technical and non-technical teams * AI/ML data applications Experience within Defence/National Security environments Skills and experience: * Experience within Defence, National Security or Public Sector environments * DDIL/constrained environments ...

most value. What They're Looking For Science or Engineering degree from a leading university Hands-on experience applying AI/ML in financial markets, trading, or investment research Familiarity with time series analysis and financial data Full-stack proficiency: Python (backend) and React JS (frontend) Experience with LLM inference ...

safety, reliability, and interpretability are built into everything you deliver. What were looking for Were looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands ...

Engineer to join a specialist team tackling some of the most challenging problems in modern technology spanning across cloud, security, automation, and AI/ML operations. You'll operate at the intersection of cloud engineering, cyber security, and reliability , working on problems such as: Securely updating deployed systems in sensitive ...

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 ...

across Europe (EMEA exposure essential) Ability to engage both technical and business stakeholders Excellent presentation and communication skills Highly Desirable: Exposure to AI/ML/data-driven platforms in financial services Knowledge of cloud architectures (AWS, Azure, GCP) Experience with modernisation/core transformation programmes Fluency in an additional ...

similar technologies is highly desirable Experience working within the Banking and Financial Services industry Relevant cloud certifications, particularly Google Cloud Platform Exposure to ML, AI, and data tooling within GCP environments Ability to work effectively across IT, DevOps, and Compliance teams to implement security controls Experience working in agile ...

distributed teams across UK and US time zones Important Context The client has already screened a number of candidates with strong theoretical or traditional ML/data science backgrounds who lacked depth in production-grade GenAI delivery. This role requires candidates with genuine hands-on experience implementing enterprise AI systems ...

derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products in one or more asset classes Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development ...

orchestration frameworks, following CI/CD best practice s. Core skills & experie nceStrong grounding in Operational Research/Optimisation, rather than purely statistical or ML-heavy data scien ce.Hands-on experience with mathematical optimisation (e.g. LP, MILP, heuristic s).Proficiency in Python for analytical and optimisation modelli ng.Experience translating ambiguous ...

based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required Due to the nature of the clients' work, you will either already hold ...

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. ...

team of engineers remotely, challenged architectural decisions, and driven the right practices for the team. Full-stack data experience at scale : Ingestion, ML/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack. Google Cloud hands-on experience: BigQuery, Analytics ...

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 ...