5 joburi disponibile

Overview: The AI Engineer will be responsible for designing, developing, and enhancing AI-driven document generation systems using large language models & traditional Machine learning algorithms. The ideal candidate will have a strong background in AI, machine learning, and natural language processing, coupled with hands-on experience in Python programming. Additional: At least 5 years' experience demonstrating technical skills in one or more following areas: Generative AI, machine learning, recommendation systems, pattern recognition, natural language vision or computer vision Proficiency in using Streamlit to create interactive and visually appealing web application Strong software development skills, including python and Scala. Experience with automation strategies (CI/CD etc) and containerisation (Kubernetes, Docker) is key. Understanding of knowledge graph concepts, including nodes, edges, and semantic relationships. Experience with tools and frameworks like Neo4j, RDF, or OWL for building, querying, and managing knowledge graphs. Experience with machine learning frameworks and libraries (TensorFlow, PyTorch, etc.). Solid understanding of natural language processing (NLP) techniques and applications. Prior experience in Azure AI stack Knowledge of large language models like GPT, Claude, Gemini. Experience with version control systems like Git. Understanding of software development life cycle (SDLC) and agile methodologies. Knowledge of agents and multi-agent systems, including agent-based modelling and simulation. Familiarity with decision-making algorithms and systems that exhibit goal-directed behaviour. Strong foundation in linear algebra, calculus, probability, and statistics. Ability to apply mathematical concepts to optimize models and interpret results Experience of multi-cloud cloud platform (AWS, Azure, GCP) is an advantage. Azure as primary experience Demonstrated experience with data analytical approaches, and tools for understanding of data in support of scientific questions Proficient working in high performance computing or cloud environment Experience in translating requirements into fit for purpose models, processing designs, data mappings and data profile reports Experience in working relevant domains eg Pharma, R&D, Manufacturing, Commercial, Finance, HR, Legal, Facilities etc. Excellent problem-solving skills and attention to detail. Excellent written and verbal communication, business analysis, and consultancy skills Start date: April Duration: 6 months + extensions Location: Macclesfield, UK (2 days remote, 3 days on-site) Language: English speaking Rate: To be agreed

We are currently seeking an experienced Data Engineer to join a leading Pharmaceutical client of ours at their Barcelona site. This exciting opportunity will involve contributing towards the utility of the businesses' brand new GenAI capability, where you will be instrumental in supporting the R&D department by extracting and matching bio-sample identifiers with other internal datasets. Our client is looking for a "can do" type of individual, who is able to work independently to solve complex challenges without direct supervision. The role will require someone who is able to modernise the data science infrastructure across a global business and also help deploy AI and Machine Learning models at scale The role requires English language skills, and candidates to be Spain based, ideally Barcelona and surrounding areas as travel is required due to hybrid working conditions, although there is some flexibility for remote work for the right candidate. Key Responsibilities : Apply excellent abstraction and analytical capabilities to perform data transformations and enable the connection of datasets, thinking outside the box as needed Extract data from existing internal sources Extract identifiers from existing platforms Build data models to link regulated and sensitive data Collaborate with cross-functional teams, including data scientists, engineers, and IT to ensure seamless integration of systems Develop and maintain code following best code and engineering practices Automate deployment processes to ensure rapid and reliable delivery of project environments. Document processes, workflows, and technical guidelines to support knowledge transfer. Desirable Requirements : Strong background in Data Engineering Experience with Spark/Pyspark would be very beneficial AWS experience CI/CD and Deployment experience would be very beneficial Experience collaborating with data scientists would be a plus but not required The role offers the flexibility of a hybrid/remote work arrangement and is a 6 month contract with possibility of extension.

Python Engineer - Python SME, Platform Engineer, DevOps, Ansible, Support A leading institutional, agency-model broker and independent equity trading arm are looking for a Platform Engineer who is a Python SME and strong DevOps Skills (Ansible). 50-70% of the role is developing and remaining part of the role is consulting and supporting other teams regarding Python. Open to someone from an infra background with good python or a dev - as long as very good in python. But also someone who is willing to look at current approach and work out best practise etc. How to approach coding mentality Will be speaking with the business a lot to do this Spec ESSENTIAL DUTIES AND RESPONSIBILITIES Drive our Python strategy, tooling, and best practices. Support Python developers across the entire organisation with their projects. Create standards. Build out documentation, guidelines and best practices. Improve Developer Productivity. Identify issues developers face, create and roll out solutions. Ensure compliance with security policies and best practices. Stay up-to-date with industry trends and emerging technologies. General knowledge of databases and parallel/distributed computing techniques SKILLS & EXPERIENCES ASSESSMENT Proven experience as a Platform Engineer, DevOps Engineer, or similar. Strong knowledge of Python programming. Familiarity with containerisation technologies (eg Docker, Kubernetes). Proficiency in infrastructure-as-code tools (Ansible, Terraform). Experience with VCS systems (we use GitLab) and CI/CD tools (eg GitLab CI). Skills in Machine Learning engineering. Understanding of how to use REST APIs and build integration with other tools. Excellent communication and collaboration skills. The following are not required, but would help your application: Previous work with Real Time systems (trading or event-driven applications). Experience with cloud platforms (eg, AWS). Experience with developer tooling (eg IDEs, Nexus, Sonarqube). By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website

We are looking for a SOAR specialist. If you like to contribute to and be part of a highly automated Security Operations Center, we need to talk! Description of team & work The Global Security Operations Center (SOC) has developed considerably over the last 5 years and has developed a mature security monitoring & incident response service. Automation (SOAR) plays a vital role in our SOC and we are exploring opportunities on Artificial Intelligence (AI) and Machine Learning/Data Science techniques. In our pursuit of extending and maturing our SOAR efforts we are looking for a SOAR specialist to join our team. As SOAR Specialist, you will be part of our Global Security Operations (28 FTE) team. You will work on the execution of our SOAR roadmap while keeping a close eye on maintaining what has been developed (DevOps). In addition, you naturally take the lead in researching and experimenting with the newest technologies to enhance our SOAR and overall SOC performance. You enjoy sharing your ideas and experience with others in the team, while they share interesting and fun stuff with you! From our ideal candidate we expect (must-haves): 7+ years of experience in an operational security/blue team environment Hand-on experience with the SOAR framework Experienced with the Kusto Query Language (KQL) and the MS Security Suite (Sentinel) Experience with automation techniques in Azure, Sentinel (Playbooks, Logic Apps, automation rules) and the PowerApps platform Technical certificates, like AZ-500, SC-200, AZ-305 or PL-100 The ability to help and develop your colleagues (knowledge sharing) You like to connect with others, in- and outside of the team You can work both individually and in a team You want to get the job done and achieve results About Levy: Since 2000 Levy provides professional Solutions to organizations ranging from tech start-ups to global players. From our offices in the UK and Amsterdam we have built an international local network of skilled employed professionals and contractors fueled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come multiplying by unity!

NO SPONSORSHIP EXPERTY CYBER DEFENSE ENGINEER SALARY:$200k - $250k plus 20% bonus LOCATION: REMOTE EXCEPT AK, ND, NE, HI, OK, VT, ME, WY, NH, PUERTO RICO SELLING POINTS: SOAR Detection engineering, SIEM log management, incident response, processes detect and prevent cyber-attacks. You will design develop deploy cyber defense tools, platform threat detection, forensic investigations, threat analysis and build task automation using python. Cyber defense operations on-call support 8 years detection engineering incident response SIEM SOAR EDR NGFW network monitoring APIs threat defense SIEM analytics cloud engineering LLMS ML/AI endpoint detection response network generation machine learning models Firewalls. We are seeking an experienced Cybersecurity Defense Engineer to join the cybersecurity engineering team. In this position, you will architect, develop, and implement advanced technical solutions that empower our cyber defense investigations and incident response teams. You will work independently and in teams to design and implement effective and sustainable capabilities to detect and prevent cyber-attacks, optimize our incident response processes, and enhance the effectiveness of mitigation, containment, and recovery. Responsibilities Solution Engineering: design develop, and deploy cyber defense tools, platforms, and capabilities that support threat detection, incident response, and forensic investigations. Technical Leadership: serve as a subject matter expert on cyber defense engineering, providing guidance and technical insights to our customers, your peers, and the cyber engineering strategy. Threat Analysis: collaborate with cyber defense operations to analyze emerging threats and current gaps in technical capabilities, implementing measures to strengthen defense mechanisms. Develop and refine threat defense analytics to effectively detect cyber-attacks Build task automation and procedure orchestration to support cyber defense operations. Qualifications Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field. Relevant experience and relevant experience within the military is acceptable in lieu of a degree. 8+ years of experience in one or more of the following areas: cybersecurity engineering, detection engineering, incident response, or a similar role, with a proven track record of independent problem solving in high-stakes environments. Python for task automation Hands-on experience deploying and configuring security platforms, such as SIEM, SOAR, EDR, NGFW, and network monitoring tools. Experience integrating cyber defense tools and utilizing APIs for process orchestration and task automation. Experience building and deploying threat defense (SIEM) analytics using a detection engineering pipeline. Strong analytical skills with a keen attention to detail. Strong technical writing skills including documentation development, process mapping, and visualization, with the ability to translate complex technical concepts for a variety of technical audiences. Proven ability to work autonomously, lead projects from conception to implementation, and overcome roadblocks in a highly collaborative environment. Nice to Have: Cloud engineering experience. Experience implementing LLMs, ML, or other advanced analytic and decision-making support capabilities into enterprise cybersecurity services and workflows.