with Python to build, train, and evaluate models 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high- performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. More ❯
concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributedcomputing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects What More ❯
developing teams, direct and shape the team plan, culture and strategy. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high-performance computing PREFERRED QUALIFICATIONS - A PhD in Computer Science, Machine Learning, Statistics, Operations Research or relevant field - 10+ years of industry experience in predictive modeling More ❯
Edinburgh, Midlothian, United Kingdom Hybrid / WFH Options
Onyx-Conseil
application platform development, web and mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure. Understanding of distributedcomputing paradigm and exposure to building highly scalable systems. Experience with platform modernization and cloud migration projects. Expertise in Agile development methodologies like TDD, BDD, Performance/Load More ❯
or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high performance computing Experience in building machine learning models for business application Preferred Qualifications Knowledge of NLP, Graphs, Informational Retrieval or Skill Taxonomies Posted: October More ❯
curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self-supervised learning , and large-scale distributed training . Optimize training pipelines for enhanced performance, compute efficiency, and responsible AI alignment. LLM Deployment & Scalability Manage the end-to-end deployment of LLMs and foundation models in … AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributedcomputing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training, fine-tuning, and deployment (e.g., Hugging Face , LLamafactory , NVIDIA NeMo ). More ❯
application platform development, web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributedcomputing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like TDD, BDD, Performance/Load More ❯
Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributedcomputing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Containerisation tools like Docker or Kubernetes Experience with Infrastructure as Code More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
NLP PEOPLE
with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning PEFT/LoRA, Context embedding, Vector database technologies, and Semantic Search techniques & tools. Familiarity with Azure cloud platform services and distributedcomputing frameworks (e.g., SparkNLP) is a plus. Knowledge of Agentic workflows and frameworks. Experience extracting data from PDFs using Python libraries (e.g., PyPDF, Camelot) and OCR tools like More ❯
field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in patents or publications at top-tier peer-reviewed conferences More ❯
application platform development, web and mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure Understanding of distributedcomputing paradigm and exposure to building highly scalable systems Experience with platform modernization and cloud migration projects Expertise in Agile development methodologies like TDD, BDD, Performance/Load More ❯
define and implement data architectures (Data Lake, Lake House, Data Mesh, etc). Engagements include short on-site projects proving the use of AWS Data services to support new distributedcomputing solutions that often span private cloud and public cloud services. - Deliver on-site technical assessments with partners and customers. This includes participating in pre-sales visits, understanding … that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global … experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis
orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributedcomputing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯
orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributedcomputing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis
orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributedcomputing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis
orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributedcomputing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Experis
orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributedcomputing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯
trends and actionable insights Develop and implement data models, databases, and analytics solutions Build and maintain dashboards and reports using Power BI/Tableau Work with SQL, Python, and distributedcomputing tools (Hadoop, Spark, etc.) Support data governance and optimisation initiatives Collaborate with leadership teams to prioritise and deliver data-driven solutions What we’re looking for: 5+ More ❯
trends and actionable insights Develop and implement data models, databases, and analytics solutions Build and maintain dashboards and reports using Power BI/Tableau Work with SQL, Python, and distributedcomputing tools (Hadoop, Spark, etc.) Support data governance and optimisation initiatives Collaborate with leadership teams to prioritise and deliver data-driven solutions What we’re looking for: 5+ More ❯
trends and actionable insights Develop and implement data models, databases, and analytics solutions Build and maintain dashboards and reports using Power BI/Tableau Work with SQL, Python, and distributedcomputing tools (Hadoop, Spark, etc.) Support data governance and optimisation initiatives Collaborate with leadership teams to prioritise and deliver data-driven solutions What we’re looking for: 5+ More ❯
markets and quantitative modeling Preferred: Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributedcomputing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in More ❯
markets and quantitative modeling Preferred: Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributedcomputing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in More ❯
scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab). Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high performance computing. Experience delivering customer engagements in a professional services role. Experience researching machine learning, deep learning, NLP, computer vision, data science. Bachelor's degree and More ❯
teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? AWS Professional Services Public Sector ANZ are hiring a highly technical senior cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive … pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributedcomputing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using … experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
REC SOLUTIONS LIMITED
identifying dependencies, interfaces, and technical constraints. Technical roadmap ownership Work with architects and engineers to maintain the technical roadmap, identifying areas of technical debt or new application components across distributed systems. Technical documentation Produce and maintain detailed technical and functional documentation, including API specifications, configuration workflows, and integration guides. Stakeholder engagement Act as a central communication point between product … performance optimisation, latency management, concurrency, and integration considerations. Strong knowledge of networking principles (TCP, UDP, multicast) and experience designing for resilience, throughput, and low-latency data distribution. Expertise in distributedcomputing and system architectures, including microservices and high-throughput, low-latency systems. Strong knowledge of data architecture and database design, with experience across relational, time-series, and high More ❯