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Graduate Support Associate Location: Cambridge or London - Hybrid Salary: £28,000 - £30,000 (depending on experience) + benefits Employment Type: Full-time Graduates Welcome to Apply Company Overview: Join a global software house founded by world-leading experts in science, mathematics, and engineering. Renowned for solving complex technical problems in artificial intelligence, this award-winning company offers an exciting opportunity to work in a dynamic and fast-paced environment. Role Overview: As a Graduate Support Associate, you will: * Engage with global organizations to build long-term relationships. * Manage high-value accounts and be the first point of contact for client inquiries. * Collaborate with tech teams to find solutions for clients. * Maintain meticulous and detailed work practices. Candidate Requirements: * Graduated with a 2.1 or higher in Physics, Astrophysics, Natural Sciences, Biology, Chemistry, or related fields from a premier university. * Strong analytical mindset and investigative approach. * First-class communication skills. * Experience with prestigious clients through internships or placements is beneficial. * Knowledge of technology, Scripting, databases, or coding is advantageous. * Ability to adapt to a frequently changing environment. * Willingness to relocate if necessary. Benefits: * Competitive salary. * Comprehensive benefits package. * Hybrid working model. This role is ideal for graduates who are interested in the client side of the tech industry and are eager to support the growth and success of global AI solutions. Application Process: To apply, please send your CV via the link below. Rest assured, your application will be treated with the strictest confidence, and we will contact you before discussing your CV with any potential employer. About Adecco: Adecco operates as an Employment Agency and is an equal opportunities employer.

Salary - €70,000 - €80,000 + bonus + benefits (remote working allowance, phone plan, meal vouchers, pension contribution, health insurance). Location - Brussels, Belgium (required 2 days a week at the office) Brand new role with an automotive company, who are hiring for an HPC Cluster Engineer to work with their wider vehicle development and driving simulation teams to administer Linux based GPU HPC cluster for AI. They are looking for someone from an HPC engineering background with experience of Linux, who can support VRED rendering cluster and HPC cluster for CAE and support AI Engineers to setup development environment on GPU HPC. This is a pivotal role at the heart of their AI simulation initiative where you can truly shape and affect how the migration from on-prem to cloud is delivered from an HPC engineering perspective. You would be working alongside a global team of genuine experts, for an organisation at the centre of one of the most innovative industries! Key responsibilities You will be responsible for the administration of Linux based GPU HPC cluster for Artificial Intelligence (AI). You will support VRED Rendering Cluster and HPC cluster for Computer Aided Engineering (CAE). You will work on failed computation investigation, problem determination, incident resolution, system support, co-ordination with vendor. Installation and configuration of hardware, OS, and software + tuning for all R&D Linux workstations. Manage patching of Linux systems, including offline systems. Perform daily monitoring, management of the backup environment (Ceph) and ensure cluster high availability. Support AI engineers to setup development environment on GPU HPC. Create long term environment management centralization. Support setup of a driving simulator based on Real Time OS. Support setup of integrated engineering development environment: Linux laptops, office workstations, in-car computer. Ensure Linux environment match company security standards. Deploying/Maintaining AWS AI Cluster. Supporting AWS VRED and CAE clusters. Key requirements You will need to have a strong HPC Engineering background. You will need well-structured verbal and written communication (in English). You will need technical knowledge of Linux OS and Server knowledge, cluster management, and infrastructure administration. You will need storage solution understanding and operating. Lawrence Harvey is acting as an Employment Business in regards to this position.

NO SPONSORSHIP AI Engineer/Developer On site 3 days a week downtown Chicago Salary - 180 - 200K + $1200 - 10K Bonus We are looking for someone with a software development background who just happens to have specialized in AI Workflow automation. This makes their skills far more portable and is super important because the field is changing rapidly. Existing automation tech will be become obsolete very soon. We need people that are more focused on the programming side of the house, versus general office productivity. AI Engineering natural language processing and machine learning design Python Langchain LlamalIndex and Semantic Kernel large language models PyPDF Azure document intelligence prompt engineering In total, there are 20 people associated with this AI team. The Artificial Intelligence team is brand new at this organization. this is a new wave in the Legal space, and we are responsible for creating an AI road map in the Legal industry. AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data. Ideal Candidate: -Bachelor's Degree in Computer Science, Engineering, or related field -A minimum of 5 years of experience in AI engineering or a related field -MUST HAVE: Proven experience with AI engineering tools and technologies, including Python, Langchain, LlamaIndex, and Semantic Kernel -Understanding of large language models. -You will likely come across a lot of general software developers who want to transition into AI Engineering - This is an acceptable candidate, as long as they have experience with the AI tools listed above. -You will also likely come across Data Scientists that are trying to reinvent themselves as Data/AI Engineers. This candidate is acceptable as well, as long as they have experience with the above listed tools and can build a case on AI agents. The AI Engineer, a member of the AI Engineering team, is responsible for developing and implementing cutting-edge legal AI solutions that drive efficiency, improve decision making, and provide valuable insights across various administrative business groups and legal practices. This role will leverage expertise in AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data. Duties and Responsibilities: Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence) Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function design Design and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databases Develop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents Use Gen AI to distill metadata and insights from documents Fine tune LLMs to optimize for domain and cost Collaborate with stakeholders to implement and automate AI powered solutions for common business workflows Enhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment Required: Bachelor's Degree in Computer Science, Engineering, or related field A minimum of 5 years of experience in AI engineering or a related field Preferred : Master's Degree in Computer Science, Engineering, or related field Proven experience with AI engineering tools and technologies, including Python, Streamlit, Jupyter Notebooks, Langchain, LlamaIndex, and Semantic Kernel Experience with natural language processing, text extraction, and information retrieval techniques Strong understanding of machine learning and deep learning concepts including transformer based GPT models Experience with distributed computing and cloud environments (eg, Microsoft Azure)

Title: Graduate Software QA Engineer - Join our Innovative AI Software House! Location: Cambridge/Hybrid Contract Type: Permanent Working Pattern: Full Time Salary: £28,000 - £32,000 (depending on experience) + benefits Are you a natural problem solver with a keen investigative mindset? Have you graduated with a Bachelor's or Master's degree in physics, natural sciences, mathematics, computing, or engineering? Do you have experience with Python, JavaScript, Bash, and SQL? If so, our client, an award-winning artificial intelligence software house, is looking for a Software QA Engineer to join their innovative and boundary-pushing team! At our client's company, they push the boundaries of technology, continue to innovate, and excel in the field of artificial intelligence. As a Software QA Engineer, you will have the opportunity to collaborate with product teams, work on product specifications, streamline processes, automate tasks, and be a part of an exciting journey. What we're looking for: *Graduated from a leading University with a 2.1 or better in physics, natural sciences, mathematics, computing, engineering, or related fields. *Strong proficiency in Python, JavaScript, Bash, and SQL. *Understanding of automation software and databases. *Knowledge of the software development cycle and how different functions fit together. *Excellent communication skills and ability to work effectively with various teams. *Previous internship or placement experience is a plus. Our client believes in your growth and development. They offer a supportive environment where you can expand your knowledge and skills in technology. If you have the enthusiasm and curiosity to learn, this is the perfect opportunity for you! Please note, if relocation is required, ensure you are prepared for the move! Join our client's team and be a part of a company that values your talents, encourages your ideas, and fosters a collaborative culture. At our client's organisation, you will have the chance to make a real impact, contribute to cutting-edge solutions, and work alongside a dedicated and passionate team. To apply, please submit your CV. Rest assured, your application will be treated with the utmost confidentiality. We will always contact you before sharing your information with potential employers. Our client is an equal opportunities employer. Don't miss out on this exciting opportunity! Apply now and embark on a rewarding career in the world of artificial intelligence and software development. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Graduate Client Product Success Manager Are you a recent graduate with a passion for technology and a drive for client satisfaction? We have an amazing opportunity for you! Our client, a leading software house and pioneer in artificial intelligence, is seeking a Graduate Client Product Success Manager to join their exceptional team. With their cutting-edge technology, they are revolutionising household organisations across the UK and beyond. In this role, you will collaborate with support and operations teams, ensuring a smooth onboarding process for clients. You will have the opportunity to travel both nationally and overseas, tailoring solutions to meet clients' needs. With a strong focus on client satisfaction, you will enjoy solving challenges and building rapport. To be successful in this role, you will need a 2.1 or higher in physics, natural sciences, biology, chemistry, history, or a related field from a leading university. Strong A-level grades are desired, as well as excellent written and verbal communication skills. While experience in a technology or software company is a plus, it is not essential. Our client's entrepreneurial management team, along with their team of brilliant academics and engineers, will provide a supportive and dynamic environment. With a hybrid working model, you will have the flexibility to thrive in a fast-paced, ever-changing organisation. If you're eager to start your career with a top AI company and make a real impact, don't miss out on this exciting opportunity. Apply now by clicking the link below. Please note that Adecco is operating as an Employment Agency. We are an equal opportunities employer, and your application will be handled with the utmost confidentiality. Rest assured, we will always reach out to you before sharing your CV with any potential employer.

*This role is 3 days onsite each week in Chicago, hybrid remote* *We are unable to provide sponsorship for this permanent Full time role in Chicago* *Position is bonus eligible* Prestigious Firm is currently seeking an Lead Generative AI Engineer. Candidate will be responsible for developing and implementing cutting-edge legal AI solutions that drive efficiency, improve decision making, and provide valuable insights across various administrative business groups and legal practices. This role will leverage expertise in AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data. Responsibilities: Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence) Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function design Design and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databases Develop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents Use Gen AI to distill metadata and insights from documents Fine tune LLMs to optimize for domain and cost Collaborate with stakeholders to implement and automate AI powered solutions for common business workflows Enhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment Qualifications: Bachelor's Degree in Computer Science, Engineering, or related field 5+ years of experience in AI engineering or a related field Proven experience with AI engineering tools and technologies, including Python, Streamlit, Jupyter Notebooks, Langchain, LlamaIndex, and Semantic Kernel Experience with natural language processing, text extraction, and information retrieval techniques Strong understanding of machine learning and deep learning concepts including transformer based GPT models Experience with distributed computing and cloud environments (eg, Microsoft Azure) Strong organizational, communication, and problem-solving skills, with the ability to work harmoniously and effectively with others Ability to preserve confidentiality and exercise discretion, with strong attention to detail and good judgment

Artificial Intelligence (AI) Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3-5 days on-site/week *We are unable to provide sponsorship for this role* *This role is not open to C2C, contract, or contract to hire* Qualifications Bachelor's degree required; master's degree preferred Experience with AI engineering tools and technologies, including Python, Langchain, LlamaIndex, and Semantic Kernel Strong understanding of large language models 5+ years of experience in AI engineering at the enterprise level Experience with natural language processing, text extraction, and information retrieval techniques Strong understanding of machine learning and deep learning concepts including transformer based GPT models Experience with distributed computing and cloud environments (eg, Microsoft Azure) Responsibilities Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence) Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function design Design and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databases Develop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents Use Gen AI to distill metadata and insights from documents Fine tune LLMs to optimize for domain and cost Collaborate with stakeholders to implement and automate AI powered solutions for common business workflows Enhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment